Publications
  1. "Enabling Pulse-level Programming, Compilation, and Execution in XACC" by Nguyen, McCaskey, IEEE Transactions on Computers 71, 547-559 (2021) - DOI:10.1109/TC.2021.3057166
  2. "Zero-noise extrapolation for quantum-gate error mitigation with identity insertions" by He, Nachman, de Jong, Bauer, Phys. Rev. A 102, 012426 (2020) - DOI:10.1103/PhysRevA.102.012426 (Collaboration between AIDE-QC and HEP's QuantiSED)
  3. "QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space" by Younis, Sen, Yelick, Iancu  (Originated in QAT4Chem and continued in AIDE-QC, becoming part of BQSKit)
  4. "Extending the Frontier of Quantum Computers With Qutrits" by Gokhale, Baker, Duckering, Chong, Brown, Brown, IEEE Micro 40, 64-72 (2020) - DOI:10.1109/MM.2020.2985976
  5. "Chemistry on quantum computers with virtual quantum subspace expansion" by Urbanek, Camps, Van Beeumen, de Jong,  J. Chem. Theory. Comput. 16, 5425 (2020) - DOI:10.1021/acs.jctc.0c00447 (Collaboration between QAT4Chem and AIDE-QC)
  6. "Operator Sampling for Shot-frugal Optimization in Variational Algorithms" by Arrasmith, Cincio, Somma and Coles
  7. "Extending XACC for Quantum Optimal Control" by Nguyen, Santana, McCaskey, in 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 391-401 (2020) - DOI:10.1109/QCE49297.2020.000555
  8. "Classical Optimizers for Noisy Intermediate-Scale Quantum Devices" by Lavrijsen, Tudor, Müller, Iancu, de Jong, in 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 267-277 (2020) - DOI:10.1109/QCE49297.2020.00041 (Collaboration between AIDE-QC and QAT4Chem)
  9. "Efficient Quantum Circuit Decompositions via Intermediate Qudits" by Baker, Duckering, Chong, in 2020 IEEE 50th International Symposium on Multi-Valued Logic (ISMVL), pp. 303-308 (2020) - DOI:10.1109.ISMVL49045.2020.9345604
  10. "Time-Sliced Quantum Circuit Partitioning for Modular Architectures" by Baker, Duckering, Hoover, Chong, in CF'20: Proceedings of the 17th ACM International Conference on Computing Frontiers, 98 (2020) - DOI:10.1145/3387902.3392617
  11. "SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation" by Ding, Wu, Holmes, Wiseth, Franklin, Martonosi, Chong, in 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 570 (2020) - DOI:10.1109/ISCA45697.2020.00054
  12. "Entangled Datasets for Quantum Machine Learning" by Schatzki, Arrasmith, Coles, Cerezo
  13. "Trainability of Dissipative Perceptron-Based Quantum Neural Networks" by Sharma, Cerezo, Cincio, Coles, Phys. Rev. Lett. 128, 180505 (2022) - DOI:10.1103/PhysRevLett.128.180505
  14. "Large gradients via correlation in random parameterized quantum circuits" by Volkoff, Coles, Quantum Sci. Technol. 6, 025008 (2021) - DOI:10.1088/2058-9565/abd891
  15. "Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets" by Sharma, Cerezo, Holmes, Cincio, Sornborger, Coles, Phys. Rev. Lett. 128, 070501 (2022)  - DOI:10.1103/PhysRevLett.128.070501
  16. "Test Points for Online Monitoring of Quantum Circuits" by Acharya, Urbanek, de Jong, Saeed, ACM J. Emerg. Technol. Comput. Syst. 18, Article 14 (2022) - DOI:10.1145/3477928
  17. "Impact of Barren Plateaus on the Hessian and Higher Order Derivatives" by Cerezo and Coles, Quantum Sci. Technol. 6, 035006 (2021) - DOI:10.1088/2058-9565/abf51a
  18. "Measuring the Capabilities of Quantum Computers" by Proctor, Rudinger, Young, Nielsen, Blume-Kohout, Nat. Phys. (2021) - DOI:10.1038/s41567-021-01409-7
  19. "Correlation-Informed Permutation of Qubits for Reducing Ansatz Depth in VQE" by Tkachenko, Sud, Zhang, Tretiak, Ansimov, Arrasmith, Coles, Cincio, Dub, PRX Quantum 2, 020337 (2021) - DOI:10.1103/PRXQuantum.2.020337
  20. "Really Embedding Domain-Specific Languages into C++" by Finkel, McCaskey, Popoola, Liakh, Doerfert, in 2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC) and Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), pp. 65-73 (2020) - DOI:10.1109/LLVMHPCHiPar51896.2020.00012
  21. "Prethermalization and Thermalization in Periodically-Driven Many-Body Systems away from the High_Frequency Limit" by Fleckenstein, Bukov, Phys. Rev. B 103, L140302 (2021) - DOI:10.1103/PhysRevB.103.L140302
  22. "Thermalization and prethermalization in periodically kicked quantum spin chains" by Fleckenstein, Bukov, Phys. Rev. B 103, 144307 (2021) - DOI:10.1103/PhysRevB.103.144307
  23. "Absence of Barren Plateaus in Quantum Convolutional Neural Networks" by Pesah, Cerezo, Wang, Volkoff, Sornborger, Coles, Phys. Rev. X 11, 041011 (2021) - DOI:10.1103/PhysRevX.11.041011
  24. "Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape" by Bukov, Schmitt, Dupont, SciPost Phys. 10, 147 (2021) - DOI:10.21468/SciPostPhys.10.6.147
  25. "Extending C++ for Heterogeneous Quantum-Classical Computing" by Nguyen, Santana, Kharazi, Claudino, Finkel, McCaskey, ACM Transactions on Quantum Computing, Vol. 2, Article number 6, pp. 1-36 (2021) - DOI:10.1145/3462670
  26. "Effect of barren plateaus on gradient-free optimization" by Arrasmith, Cerezo, Czarnik, Cincio, Coles, Quantum 5, 558 (2021) - DOI:10.22331/q-2021-10-05-558
  27. "CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations" by Tang, Tomesh, Larson, Suchara, Martonosi, in ASPLOS 20021: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 473-486 (2021) - DOI:10.1145/3445814.3446758  (Collaboration between AIDE-QC and FAR-QC)
  28. "Adiabatic ground state preparation in an expanding lattice" by Olund, Block, Gazit, McGreevy, Yao, Phys. Rev. B 101, 155152 (2020) - DOI:10.1103/PhysRevB.101.155152
  29. "Composable Programming of Hybrid Workflows for Quantum Simulation" by Nguyen, Bassman, Lyakh, McCaskey, Leyton-Ortega, Pooser, Elwasif, Humble, de Jong, in 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C), pp. 110-116 (2021) - DOI:10.1109/ICSA-C52384.2021.00028
  30. "Simulating Quantum Materials with Digital Quantum Computers" by Bassman, Urbanek, Metcalf, Carter, Kemper, de Jong, Quant. Sci. Technol. 6, 043002 (2021) - DOI:10.1088/2058-9565/ac1ca6 (Collaboration between AIDE-QC and FAR-QC)
  31. "Extending Python for Quantum-Classical Computing via Quantum Just-in-Time Compilation" by Nguyen, McCaskey, ACM Transact. Quant. Comp. 3, 24 (2022) - DOI:10.1145/3544496
  32. "Connecting ansatz expressibility to gradient magnitudes and barren plateaus" by Holmes, Sharma, Cerezo, Coles, PRX Quantum 3, 010313 (2022) - DOI:10.1103/PRXQuantum.3.010313
  33. "Constant-Depth Circuits for Dynamic Simulations of Materials on Quantum Computers" by Bassman, Van Beeumen, Younis, Smith, Iancu, de Jong, Mat. Theory 6, 13 (2022) - DOI:10.1186/s41313-022-00043-x
  34. "Representation Theory for Geometric Quantum Machine Learning" by Ragone, Braccia, Nguyen, Schatzki, Coles, Sauvage, Larocca, Cerezo
  35. "QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis" by Younis, Sen, Yelick, Iancu, in 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 232-243 (2021) - DOI:10.1109/QCE52317.2021.00041
  36. "Diagnosing Barren Plateaus with Tools from Quantum Optimal Control" by Larocca, Czarnik, Sharma, Muraleedharan, Coles, Cerezo, Quantum 6, 824 (2022) - DOI:10.22331/q-2022-09-29-824
  37. "Exploiting Symmetry Reduces the Cost of Training QAOA" by Shaydulin, Wild, IEEE Transactions on Quantum Engineering, Vol. 2, pp. 1-9, Article 3101409 (2021) - DOI:10.1109/TQE.2021.3066275
  38. "A semi-agnostic ansatz with variable structure for quantum machine learning" by Bilkis, Cerezo, Verdon, Coles, Cincio, Quantum Mach. Intell. 5, 43 (2023) - DOI:10.1007/s42484-023-00132-1
  39. "Orchestrated trios: compiling for efficient communication in Quantum programs with 3-Qubit gates" by Duckering, Baker, Litteken, Chong, in ASPLOS 2021: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 375-385 (2021) - DOI:10.1145/3445814.3446718
  40. "Equivalence of quantum barren plateaus to cost concentration and narrow gorges" by Arrasmith, Holmes, Cerezo, Coles, Quant. Sci. Tech. 7, 045015 (2022) - DOI:10.1088/2058-9565/ac7d06
  41. "A backend-agnostic, quantum-classical framework for simulations of chemistry in C++" by Claudino, McCaskley, Lyakh, ACM Trans. Quant. Comp. 2, 1-20 (2022) - DOI:10.1145/3523285
  42. "Improving Weak Simulation of Universal Quantum Circuits by Correlated L1 Sampling" by Kocia
  43. "Clifford Circuit Optimization with Templates and Symbolic Pauli Gates" by Bravyi, Shaydulin, Hu, Maslov, Quantum 5, 580 (2021) - DOI:10.22331/q-2021-11-16-580
  44. "Variational quantum algorithms" by Cerezo, Arrasmith, Babbush,Benjamin, Endo, Gujii, McClean, Matarai, Yan, Cinco, Coles, Nature Rev. Phys. 3, 625-644 (2021) - DOI:10.1038/s42254-021-00348-9
  45. "Reoptimization of Quantum Circuits via Hierarchical Synthesis" by Wu, Davis, Chong, Iancu, in Proceedings of IEEE International Conference on Rebooting Computing (ICRC) 2021, pp. 35-46 (2021) - DOI:10.1109/ICRC53822.2021.00016
  46. "Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries" by Shaydulin, Galda, in Proceedings of 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 291-300 (2021) - DOI:10.1109/QCE52317.2021.00046
  47. "ArQTiC: A full-stack software package for simulating materials on quantum computers" by Bassman, Powers, de Jong, ACM Transact. Quant. Comp. 3, 17 (2022) - DOI:10.1145/3511715
  48. "Gleipnir: Toward Practical Error Analysis for Quantum Programs" by Tao, Shi, Yao, Hui, Chong, Gu, in IPLDI 2021: Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, pp. 48-64 (2021) - DOI:10.1145/3453483.3454029
  49. "QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation" by Nguyen, Bassman, Lotshaw, Lyakh, McCaskey, Leyton-Ortaga, Pooser, Elwasif, Humble, de Jong, IET Quant. Comm. 1-11 (2021) - DOI:10.1049/qtc2.12024
  50. "Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices" by Wilson, Mueller, Bassman, Iancu, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC21), Article 96, pp. 1-15 (2021) - DOI:10.1145/3458817.3476189
  51. "Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving" by Yao, Lin, Bukov, Phys. Rev. X 11, 031070 (2021) - DOI:10.1103/PhysRevX.11.031070
  52. "Leveraging Randomized Compiling for the QITE Algorithm" by Ville, Morvan, Hashim, Naik, Mitchell, Kreikebaum, O'Brien, Wallman, Hincks, Emerson, Smith, Younis, Iancu, Santiago, Siddiqi, Phys. Rev. Res. 4, 033140 (2022) - DOI:10.1103/PhysRev.Research.4.033140 (Collaboration between AIDE-QC and AQT)
  53. "Variational Quantum Eigensolver with Reduced Circuit Complexity" by Zhang, Cincio, Negre, Czarnik, Coles, Anisimov, Mniszewski, Tretiak, Dub, npj Quant. Info. 8, 96 (2022) - DOI:10.1038/s41534-022-00599-z
  54. "An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation" by Camps, Kokcu, Bassman, de Jong, Kemper, Van Beeumen, SIAM J. Matrix Anal. Appl. 43, 1084 (2022) - DOI:10.1137/21M1439298
  55. "Algebraic Compression of Quantum Circuits for Hamiltonian Evolution" by Kokcu, Camps, Bassman, Freericks, de Jong, Van Beeumen, Kemper, Phys. Rev. A 105, 032420 (2022) - DOI:10.1103/PhysRevA.105.032420
  56. "QUEST: Systematically Approximating Quantum Circuits for Higher Output Fidelity" by Patel, Younis, Iancu, de Jong, Tiwari, in Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2022), 514-529 (2022) - DOI:10.1145/3503222.3507739
  57. "Exploring Finite Temperature Properties of Materials with Quantum Computers" by Powers, Bassman, de Jong, Scientific Reports 13, 1986 (2023) - DOI:10.1038/s41598-023-28317-5 (Collaboration between AIDE-QC and FAR-QC)
  58. "Computationally Efficient Zero Noise Extrapolation for Quantum Gate Error Mitigation" by Pascuzzi, He, Bauer, de Jong, Nachman, Phys. Rev. A 105, 042406 (2022) - DOI:10.1103/PhysRevA.105.042406 (Collaboration between AIDE-QC and HEP's QuantiSED)
  59. "Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits" by Urbanek, Nachman, Pascuzzi, He, Bauer, de Jong, Phys. Rev. Lett. 127, 270502 (2021) - DOI:10.1103/PhysRevLett.127.270502 (Collaboration between AIDE-QC, QAT4Chem and HEP's QuantiSED)
  60. "Faster and More Reliable Quantum SWAPs via Native Gates" by Gokhale, Tomesh, Suchara, Chong
  61. "Quantum Local Search with Quantum Annealing Operator Ansatz" by Tomesh, Saleem, Suchara, Quantum 6, 781 (2022) - DOI:10.22331/q-2022-08-22-781
  62. "Noise Electrometry of Polar and Dielectric Materials" by Sahay, Hsieh, Parsonnet, Martin, Ramesh, Yao, Chatterjee
  63. "Quantum Divide and Conquer for Combinatorial Optimization and Distributed Computing" by Saleem, Tomesh, Perlin, Gokhale, Suchara, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 1-12 (2023) - DOI:10.1109/QCE57702.2023.00009
  64. "Scalable Programming Workflows for Validation of Quantum Computers" by Nguyen, Bassman, Lyakh, Lotshaw, McCaskey, Bennink, Leyton-Ortega, Pooser, Humble, de Jong, in 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS), pp. 80-87 (2021) - DOI:10.1109/QCS54837.2021.00013
  65. "Quantum Computing in the Cloud: Analyzing job and machine characteristics" by Ravi, Smith, Gokhale, Chong, in IEEE International Symposium on Workload Characterization (IISWC) 2021, pp. 39-50 (2021) - DOI:10.1109/IISWC53511.2021.00015
  66. "Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler" by Nguyen, Lyakh, Pooser, Humble, Proctor, Sarovar
  67. "Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems" by Tomesh, Gui, Gokhale, Shi, Chong, Martonosi, Suchara, in Proceedings of IEEE International Conference on Rebooting Computing (ICRC) 2021, pp. 1-13 (2021) - DOI:10.1109/ICRC53822.2021.00013
  68. "Adaptive job and resource management for the growing quantum cloud" by Ravi, Smith, Murali, Chong, in 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 301-312 (2021) - DOI:10.1109/QCE52317.2021.00047
  69. "Adaptive Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment" by Koretsky, Gokhale, Baker, Viszlai, Zheng, Gurung, Burg, Paaso, Khodaei, Eskandarpour, Chong, in 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 181-187 (2021) - DOI:10.1109/QCE52317.2021.00035
  70. "Computing Free Energies with Fluctuation Relations on Quantum Computers" by Bassman, Klymko, Liu, Tubman, de Jong, Phys. Rev. Lett. 129, 130603 (2022) - DOI:10.1103/PhysRevLett.129.130603 (collaboration between FAR-QC and AIDE-QC)
  71. "Quancorde: Boosting fidelity with Quantum Canary Ordered Diverse Ensembles" by Ravi, Baker, Smith, Earnest, Javadi-Abharu, Chong, in 2022 IEEE International Conference on Rebooting Computing (ICRC), pp. 66-77 - DOI:10.1109/ICRC57508.2022.00014
  72. "Theory for Equivariant Quantum Neural Networks" by Nguyen, Schatzki, Braccia, Ragone, Coles, Sauvage, Larocca, Cerezo
  73. "Single-spin qubit magnetic spectroscopy of two-dimensional superconductivity" by Chatterjee, Dolgirev, Esterlis, Zibrov, Lukin, Yao, Demler, Phys. Rev. Research 4, L012001 (2022) - DOI:10.1103/PhysRevResearch.4.L012001
  74. "Characterizing two-dimensional superconductivity via nanoscale noise magnetometry with single-spin qubits" by Dolgirev, Chatterjee, Esterlis, Zibrov, Lukin, Yao, Demler, Phys. Rev. B 105, 024507 (2022) - DOI:10.1103/PhysRevB.105.024507
  75. "SupermarQ: A Scalable Quantum Benchmark Suite" by Tomesh, Gokhale, Mole, Ravi, Smith, Viszlai, Wu, Hardavellas, Martonosi, Chong, in 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2022, pp. 587-603 (2022) (Best Paper Award) - DOI:10.1109/HPCA53966.2022.00050
  76. "Measurement-Induced Transition in Long-Range Interacting Quantum Circuits" by Block, Bao, Choi, Altman, Yao, Phys. Rev. Lett. 128, 010604 (2022) - DOI:10.1103/PhysRevLett.128.01604
  77. "Generalization in quantum machine learning from few training data" by Caro, Huang, Cerezo, Sharma, Sornborger, Cincio, Coles, Nat. Comm. 13, 4919 (2022) - DOI:10.1038/s41467-022-32550-3
  78. "More Optimal Simulation of Universal Quantum Computers" by Kocia, Tulloch
  79. "Reducing Memory Requirements of Quantum Optimal Control" by Narayanan, Propson, Bongarti, Huckelheim, Hovland, in Comp. Sci. - ICCS 2022. Lecture Notes in Computer Science 13353 (2022) - DOI:10.1007/978-3-031-08760-8_11
  80. "Importance of Kernel Bandwidth in Quantum Machine Learning" by Shaydulin, Wild, Phys. Rev. A 106, 042407 (2022) - DOI:10.1103/PhysRevA.106.042407
  81. "Giallar: push-button verification for the qiskit Quantum compiler" by Tao, Shi, Yao, Li, Javadi-Abhari, Cross, Chong, Gu, in PLDI 2022: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, pp. 641-656 - DOI:10.1145/3519939.3523431
  82. "Interactive Protocols for Classically-Verifiable Quantum Advantage" by Zhu, Kahanamoku-Meyer, Lewis, Noel, Katz, Harraz, Wang, Risinger, Feng, Biswas, Egan, Gheorghiu, Nam, Vidick, Vazirani, Yao, Cetina, Monroe (Led by Quantum Systems Accelerator, AIDE-QC collaborating), Nature Phys. 19, 1725 (2023) - DOI:1038/s41567-023-02162-9
  83. "Quantum Simulation for High Energy Physics" by Bauer, Davoudi, Balantekin, Bhattacharya, Carena, de Jong, Draper, El-Khadra, Gemelke, Hanada, Kharzeev, Lamm, Li, Liau, Lukin, Meurice, Monroe, Nachman, Pagano, Preskill, Rinaldi, Roggero, Santiago, Savage, Siddiqi, Siopsis, Van Zanten, Wiebe, Yamauchi, Yeter-Aygeniz, Zorzetti, PRX Quantum 4, 027001 (2023) - DOI:10.1103/PRXQuantum.4.027001
  84. "Explicit Quantum Circuits of Block Encodings of Certain Sparse Matrices" by Camps, Lin, Van Beeumen, Yang, SIAM J. Matrix Anal. Appl. 45, 801 (2024) - DOI:10.1137/22M1484298
  85. "Vector Field Visualization of Single-Qubit State Tomography" by Suau, Vuffray, Lokhov, Cincio, Coffrin, in 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 528-534 - DOI:10.1109/QCE53715.2022.00075
  86. "Quantum circuit debugging and sensitivity analysis via local inversions" by Calderon-Vargas, Proctor, Rudinger, Sarovar, Quantum 7, 921 (2023) - DOI:10.22331/q-2023-02-09-921
  87. "Accelerating Noisy VQE Optimization with Gaussian Processes" by Mueller, Lavrijsen, Iancu, de Jong, in 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 215-225 - DOI:10.1109/QCE53715.2022.00041
  88. "Quantum Circuit Optimization and Transpilation via Parameterized Circuit Instantiation" by Younis, Iancu, in 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 465-475 - DOI:10.1109/QCE53715.2022.00068 
  89. "Training Quantum Boltzmann Machines with Coresets" by Viszlai, Tomesh, Gokhale, Anschuetz, Chong, in 2022 IEE International Conference on Quantum Computing and Engineering (QCE), pp. 292-298 - DOI:10.1109/QCE53715.2022.00049
  90. "Establishing trust in quantum computations" by Proctor, Seritan, Nielsen, Rudinger, Young, Blume-Kohout, Sarovar
  91. "Out-of-distribution generalization for learning quantum dynamics" by Caro, Huang, Ezzell, Gibbs, Sornborger, Cincio, Coles, Holmes, Nat. Comm. 14, 3751 (2023) - DOI:10.1038/s41467-023-39381-w
  92. "Group-Invariant Quantum Machine Learning" by Larocca, Sauvage, Sbahi, Verdon, Coles, Cerezo, PRX Quantum 3, 030341 (2022) - DOI:10.1103/PRXQuantum.3.030341
  93. "Latency considerations for stochastic optimizers in variational quantum algorithms" by Menickelly, Ha, Otten, Quantum 7, 949 (2023) - DOI:10.22331/q-2023-03-16-949
  94. "On the practical usefulness of the Hardware Efficient Ansatz" by Leone, Oliviero, Cinco, Cerezo
  95. "Challenges and opportunities in quantum machine learning" by Cerezo, Verdon, Huang, Cincio, Coles, Nat. Comp. Sci. (2022) - DOI:10.1038/s43588-022-00311-3
  96. "CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms" by Ravi, Gokhale, Ding, Kirby, Smith, Baker, Love, Hoffman, Brown, Chong, in ASPLOS 2023: Proceedings of the 28th ACM International Conference of Architectural Support for Programming Languages and Operating Systems, pp. 15-29 - DOI:10.1145/3567955.3567958
  97. "Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET" by Ravi, Smith, Baker, Kannan, Earnest, Javadi-Abhari, Hoffman, Chong, in ASPLOS 2023: Proceedings of the 28th ACM International Conference of Architectural Support for Programming Languages and Operating Systems, pp. 515-529 - DOI:10.1145/3575693.3575739
  98. "Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed Radix Operations for Communication Reduction" by Litteken, Seifert, Chadwick, Nottingham, Chong, Baker, in ASPLOS 2023: Proceedings of the 28th ACM International Conference of Architectural Support for Programming Languages and Operating Systems, pp. 646-659 - DOI:10.1145.3575693.3575726
  99. "Hardware-Conscious Optimization of the Quantum Toffoli Gate" by Bowman, Gokhale, Larson, Liu, Suchara, ACM Transact. Quant. Comp. 4, 26 (2023) - DOI:10.1145/3609229 (Collaboration between AIDE-QC and FAR-QC)
  100. "Resource frugal optimizer for quantum machine learning" by Moussa, Gordon, Baczyk, Cerezo, Cincio, Coles, Quantum Sci. Technol. 8, 045019 (2023) - DOI:10.1088/2058-9565/acef55
  101. "Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures" by Litteken, Zeifert, Chadwick, Nottingham, Roy, Li, Schuster, Chong, Baker, in ISCA'23: Proceedings of the 50th Annual International Symposium on Computer Architecture, pp. 1-14 (2023) - DOI:10.1145/3579371.3589106
  102. "Diabatic Quantum Annealing for the Frustrated Ring Model" by Côté, Sauvage, Larocca, Jonsson, Cincio, Albash, Quantum Sci. Technol. 8, 045033 (2023) - DOI:10.1088/2058-9565/acfbaa
  103. "LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach" by Smith, Davis, Larson, Younis, Bassman Oftelie, Lavrijsen, Iancu, ACM Transact. Quant. Comp. 4, 5 (2023) - DOI:10.1145/3548693 (Collaboration between AIDE-QC and FAR-QC)
  104. "Approaches to Constrained Quantum Approximate Optimization" by Saleem, Tomesh, Tariq, Suchara, SN Comput. Sci. 4, 183 (2023) - DOI:10.1007/s42979-022-01638-4
  105. "Q-Context: Context-Aware Decomposition for Quantum gates" by Liu,, Bowman, Gokhale, Dangwal, Larson, Chong, Hovland, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5 (2023) - DOI:10.1109/ISCAS46773.2023.10181370 (Collaboration between AIDE-QC and FAR-QC)
  106. "Memory-Efficient Differentiable Programming for Quantum Optimal Control of Discrete Lattices" by Wang, Kairys, Narayanan, Hückelheim, Hovland, in 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS), pp. 94-99 - DOI:10.1109/QCS56647.2022.00016
  107. "Numerical evidence against advantage with quantum fidelity kernels on classical data" by Slattery, Shaydulin, Chakrabarti, Pistoia, Khairy, Wild, Phys. Rev. A 107, 062417 (2023) - DOI:10.1103/PhysRevA.107.062417 (Collaboration between AIDE-QC and FAR-QC)
  108. "Reducing Runtime Overhead via Use-Based Migration in Neutral Atom Quantum Architectures" by Litteken, Baker, Chong, in 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 566-576  (2022) - DOI:10.1109/QCE53715.2022.00079
  109. "Wide Quantum Circuit Optimization with Topology Aware Synthesis" by Weiden, Kalloor, Kubiatowicz, Younis, Iancu, in 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS), pp. 1-11 (2022) - DOI:10.1109/QCS56647.2022.00006
  110. "Preparation of Metrological States in Dipolar-Interacting Spin Systems" by Zheng, Li, Rosen, Zhou, Koppenhöfer, Ma, Chong, Clerk, Jiang, Maurer, npj Quant. Info. 8, 150 (2022) - DOI:10.1038/s41534-022-00667-4
  111. "Quantum error mitigation by Pauli check sandwiching" by Gonzales, Shaydulin, Saleem, Suchara, Sci. Rep. 13, 2122 (2023) - DOI:10.1038/s41598-023-28109-x
  112. "Partitioning Quantum Chemistry Simulations with Clifford Circuits" by Schleich, Boen, Cincio, Anand, Kottman, Tretiak, Dub, Aspuru-Guzik, J. Chem. Theory. Comput. 19, 4952 (2023) - DOI:10.1021/acs.jctc.3c00335
  113. "Octonions and Quantum Gravity through the Central Charge Anomaly in the Clifford Algebra" by Kocia Kovalsky
  114. "Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution" by Kökcü, Camps, Bassman Oftelie, de Jong, Van Beeumen, Kemper
  115. "Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis" by Liu, Younis, Weiden, Hovland, Kubiatowicz, Iancu, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 745-756 (2023) - DOI:10.1109/QCE57702.2023.00090
  116. "DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms" by Zheng, Wang, Ravi, Chong, Han, Mueller, Chen, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp.. 1062-1073 (2023) - DOI:10.1109/QCE57702.2023.00120
  117. "Improving Quantum Circuit Synthesis with Machine  Learning" by Weiden, Kalloor, Kubiatowicz, Iancu, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 1-11 (2023) - DOI:10.1109/QCE5772.2023.00093
  118. "Single-Qubit Cross Platform Comparison of Quantum Computing Hardware" by Suau, Nelson, Vuffray, Lokhov, Cincio, Coffrin, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 1369-1377 (2023) - DOI:10.1109/QCE57702.2023.00155
  119. "A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers" by Menickelly, Wild, Xie
  120. "A hybrid method for quantum dynamics simulation" by Gomes, Yin, Niu, Yang, de Jong
  121. "Parallel-in-time simulation via Page and Wootters quantum time" by Diaz, Braccia, Larocca, Matera, Rossignoli, Cerezo
  122. "Hybrid Gate-Pulse Model for Variational Quantum Algorithms" by Liang, Song, Cheng, He, Liu, Wang, Qin, Wang, Han, Qian, Shi, in 2023 60th ACM/IEEE Design Automation Conference (DAC), pp. 1-6 (2023) - DOI:10.1109/DAC56929.2023.10247923
  123. "Classically-Verifiable Quantum Advantage from a Computational Bell Test" by Kahanamoku-Meyer, Choi, Vazirani, Yao, Nat. Phys. 18, 918 (2022) - DOI:s41567-022-01643-7
  124. "Theory of overparameterization in quantum neural networks" by Larocca, Ju, García-Martín, Coles, Cerezo, Nat. Comput. Sci. 3, 542 (2023) - DOI:10.1038/s43588-023-00467-6
  125. "Real-Time Krylov Theory for Quantum Computing Algorithms" by Shen, Klymko, Sud, Williams-Young, de Jong, Tubman, Quantum 7, 1066 (2023) - DOI:10.22331/q-2023-07-25-1066
  126. "Lie-algebraic classical simulations for variational quantum computing" by Goh, Larocca, Cinco, Cerezo, Sauvage
  127. "Showcasing a Barren Plateau Theory Beyond the Dynamical Lie Algebra" by Diaz, García-Martín, Kazi, Larocca, Cerezo
  128. "HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems" by Stein, Sussman, Tomesh, Guinn, Tureci, Lin, Tang, Ang, Chakram, Li, Martinosi, Chong, Houck, Chuang, Demarco, in MICRO '23: Proceedings of the 56th Annual IEEE:ACM International Symposium on Microarchitecture, pp. 539-554 (2023) - DOI:10.1145/3613424.3614300
  129. "Subtleties in the trainability of quantum learning models" by Thanasilp, Wang, Nghiem, Coles, Cerezo, Quantum Mach. Intell. 5, 21 (2023) - DOI:10.1007/s42484-023-00103-6
  130. "Numerical circuit synthesis and compilation for multi-state preparation" by Szasz, Younis, de Jong, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 768-778 (2023) - DOI:10.1109/QCE57702.2023.00092
  131. "QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation" by Kukliansky, Younis, Cincio, Iancu, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 814-824 (2023) - DOI:10.1109/QCE57702.2023.00096
  132. "SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture" by Zheng, Kang, Ravi, Wang, Setia, Chong, Liu, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 236-245 - DOI:10.1109/QCE57702.2023.00034
  133. "Classical surrogate simulation of quantum systems with LOWESA" by Rudolph, Fontana, Holmes, Cincio
  134. "Self-Healing of Trotter Error in Digital Adiabatic State Preparation" by Kovalsky, Calderon-Vargas, Grace, Magann, Larsen, Baczewski, Sarovar, Phys. Rev. Lett. 131, 060602 (2023) - DOI:10.1103/PhysRevLett.131.060602 (Collaboration between OVER-QC and AIDE-QC)
  135. "Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach" by Shen, Camps, Szasz, Darbha, Klykmo, Williams-Young, Tubman, Van Beeumen
  136. "Bandwidth Enables Generalization in Quantum Kernel Models" by Canatar, Peters, Pehlevan, Wind, Shaydulin, Trans. Machine Learning Res. (2023)
  137. "Fast Fingerprinting of Cloud-based NISQ Quantum Computers" by Smith, Viszlai, Seifert, Baker, Szefer, Chong, in 2023 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pp. 1-12 (2023) - DOI:10.1109/HOST55118.2023.10133778
  138. "Symmetric derivatives of parameterized quantum circuits" by Wierichs, East, Larocca, Cerezo, Killoran
  139. "Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor" by Szasz, Younis, de Jong (Collaboration between DOE BES Project, AIDE-QC and FAR-QC)
  140. "Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks" by Schatzki, Larocca, Nguyen, Sauvage, Cerezo, npj Quantum Inf. 10, 12 (2024) - DOI:10.1038/s41534-024-00804-1
  141. "Empowering a qudit-based quantum processor by traversing the dual bosonic ladder" by Nguyen, Goss, Siva, Kim, Younis, Qing, Hashim, Santiago, Siddiqi, Nature Comm. 15, 7117 (2024) - DOI:10.1038/s41467-024-51434-2 (Collaboration between AQT and AIDE-QC)
  142. "Effects of noise on the overparameterization of quantum neural networks" by García-Martín, Larocca, Cerezo, Phys. Rev. Research 6, 013295 (2024) - DOI:10.1103/PhysRevResearch.6.013295
  143. "QSweep: Pulse-Optimal Single-Qudit Synthesis" by Younis, Goss (Collaboration between AIDE-QC and AQT)
  144. "Powerful Quantum Circuit Resizing with Resource Efficient Synthesis" by Niu, Hashim, Iancu, de Jong, Younis
  145. "Simulating dirty bosons on a quantum computer" by Bassman Oftelie, Van Beeumen, Camps, de Jong, Dupont, New. J. Phys. 26, 013030 (2024)  - DOI:10.1088/1367-2630/ad1a2d
  146. "Building spatial symmetries into parameterized quantum circuits for faster training" by Sauvage, Larocca, Coles, Cerezo, Quantum Sci. Technol. 9, 015029 (2024) - DOI:10.1088/2058-9565/ad152e
  147. "QuCLEAR: Clifford Extraction and Absorption for Significant Reduction in Quantum Circuit Size" by Liu, Gonzales, Huang, Saleem, Hovland
Invited Talks
  1. de Jong, “Variational NISQ Algorithms for Quantum Chemistry and Simulations”, Airforce Institute of Technology, January 2020
  2. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", PLanQC, at POPL 2020, New Orleans, LA, January 2020
  3. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", Northwestern University, Chicago, IL, January 2020
  4. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", University of Edinburgh, Edinburgh, Scotland, January 2020
  5. de Jong, “Quantum Computing Today and in the Future as a Platform for Scientific Discovery”, Texas Tech University, February 2020
  6. de Jong, "Advancing Physical Sciences on Near-Term Quantum Computers", Quantum Computing User Forum, ORNL, April 2020
  7. Chong, "Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design", Pittsburgh Quantum Institute, University of Pittsburgh, June 2020
  8. McCaskey, "Extending C++ for Quantum Classical Computing", TEAM / Unitary Fund Seminar, June 2020
  9. Cerezo, “Trainability of quantum neural networks”, National University of Singapore, July 2020
  10. Chong, "Quantum Software will Close the Gap to Practical Quantum Computing", BCG/P33 Quantum in Finance, October 2020
  11. Chong, "Quantum Software will Close the Gap to Practical Quantum Computing", Tufts University, October 2020
  12. Lyakh, Nguyen, Dumitrescu, McCaskey, "Tensor Network Quantum Virtual Machine for Quantum Circuit Simulations at Exascale", IEEE International Conference on Quantum Computing and Engineering QCE20 Virtual, Workshop on Quantum Simulation, October 2020
  13. Chong, "Quantum Software will Close the Gap to Practical Quantum Computing", AMD Research, October 2020
  14. Coles, “Prospects and challenges for variational quantum algorithms”, Quantum Techniques in Machine Learning (QTML), Cambridge, MA, November 2020
  15. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", Lawrence Berkeley National Laboratory, Berkeley, CA, November 2020
  16. Coles, “Barren plateau landscapes in variational quantum algorithms”, University of Toronto, November 2020
  17. Coles, “Barren plateaus and trainability of quantum neural networks”, Q2B, December 2020
  18. de Jong, "Advancing Physical Sciences on Near-Term Quantum Computers", ARQC Seminar Series, December 2020
  19. Coles, “Prospects and challenges for variational quantum algorithms”, AQIS Conference, December 2020
  20. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", JTFI Computational Science Seminar Series, Argonne National Laboratory, Chicago, IL, January 2021
  21. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", University of Michigan, January 2021
  22. Coles, “How to Design a Variational Quantum Algorithm”, QHack Hackathon, Xanadu, Canada, February 2021 
  23. Cerezo, “Trainability of Quantum Neural Networks“, Seminar at Innsbruck University, Austria, February 2021
  24. Cerezo, “Prospects and Challenges for Training Quantum Neural Networks”, QHack Hackathon, Xanadu, Canada, February 2021
  25. Bassman, "Building Blocks for Simulating Quantum Materials on Quantum Computers", IBM Quantum Applications Seminary, February 2021
  26. de Jong, "Open Problems in Chemistry on Quantum Computers", 2021 Lorentz-CECAM workshop ’Useful Quantum Computing for Quantum Chemistry', February 2021
  27. Cerezo, “Prospects and Challenges for Training Quantum Neural Networks“, ML4Q Conference, Germany, February 2021
  28. Holmes, “Expressibility and Trainability: Balancing the ingredients of an effective variational quantum algorithm”, Quantum Coffee Hour, Duke University, March 2021
  29. Coles, “Trainability of Quantum Neural Networks: Barren Plateaus and Scalability”, APS March Meeting, March 2021 
  30. Shaydulin, “Classical Symmetries and QAOA", LANS Seminar Argonne National Laboratory, March 2021
  31. Shaydulin, “Classical Symmetries and QAOA", CM/QIS Seminar Virginia Tech, April 2021
  32. Cerezo, “Variational Algorithm for Solving Linear Systems of Equations”, Quantum Tech Conference, United Kingdom, April 2021
  33. Chong, "Resource-Efficient Quantum Computing by Breaking Abstraction", Pulse-level Quantum Control Workshop, Chicago, IL, May 2021
  34. Holmes, “Expressibility and Trainability: Balancing the ingredients of an effective variational quantum algorithm", Quantum  Information  Theory  Seminar  Series,  Bristol  University,  UK, May 2021
  35. Coles, “Landscapes, Trainability, and Scalability of Variational Quantum Algorithms”, AQC Conference, June 2021
  36. Chong, "Machine-Learning for Control and Noise-Mitigation in Quantum Computer Systems", AI-assisted Design for Architecture Workshop, ISCA 2021, June 2021
  37. Shaydulin, “Towards Practical Advantage in Quantum Optimization”, Intel HPC-AI Colloquium, June 2021
  38. Yao, "Quantum and Classical Time Crystals", Quantum Science Center Hot Topics Seminar, August 2021
  39. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", NSF Challenge Institute for Quantum Computation, Chicago, IL, September 2021
  40. de Jong,  “Enabling Scientific Discovery on Quantum Computers”, Computational Research Leadership Council (CRLC) seminar at Texas State University, October 2021
  41. de Jong, “Enabling Scientific Discovery on Quantum Computers”, Computational Research Leadership Council (CRLC) seminar at Slippery Rock University of Pennsylvania, October 2021
  42. de Jong, “Quantum algorithms and a quantum computing software stack for science”, QC-HEP Seminar Series at LBNL, November 2021
  43. Chong, " Resource-Efficient Quantum Computing by Breaking Abstractions", IEEE International Conference on Rebooting Computing, Los Alamitos, CA, November 2021
  44. de Jong, "Advancing Physical Sciences on Near-Term Quantum Computers", MITP for Youngst@rs Workshop on "The Quantumness of Hard Probes", January 17, 2022
  45. de Jong, "Realizing Exited States and Dynamics Simulations on Near-Term Quantum Computers", 61th Sanibel Symposium, February 2022
  46. Bassman, "Computing Free Energies with Fluctuation Relations on Quantum Computers", FermiLab QIS-HEP Seminar Series, Chicago, IL, February 2022
  47. Yao, "Quantum Matter Under Driving and Pressure: from Time Crystals to Metrology", Physics Colloquium, Harvard University, March, 2022
  48. Bassman, "Simulating Materials with Quantum Computers", APS March Meeting 2022 Invited Speaker, Chicago, IL, March 2022.
  49. Proctor, "Measuring the capabilities of quantum computers", INQNET Seminar at Caltech, February 28, 2022.
  50. de Jong, "Exascale, ML and Quantum as Tools for Scientific Discovery", Departmental Seminar, University of Texas, El Paso, TX, April 2022
  51. Chong, "Closing the Gap between Quantum Algorithms and Machines with Physics-Aware Co-Design", Quantum Computing Applications in Chemical and Biochemical Engineering Workshop, Copenhagen, Denmark, April 2022
  52. Chong, "Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design", Opening Memorial Symposium, Quantum Computing System Center, Kyushu University, Fukuoka, Japan, April 2022
  53. Chong, "Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design", IEEE International Symposium
on Low-Power and High-Speed Chips (COOL Chips), Tokyo, Japan, April 2022
  54. Krishna Narayanan, Efficient Quantum Optimal Control, Optimization Days, Montreal, May 2022
  55. de Jong, "Advancing Physical Sciences on Quantum Computers", Keynote at IBM Quantum Partner Forum, Zurich, Switzerland, May 2022
  56. Krishna Narayanan, "Efficient Quantum Optimal Control, ICCOPT", Bethlehem, PA, July 2022
  57. Chong, "Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design", IEEE International Conference on Quantum Computing and Engineering, Boulder, CO, September 2022
  58. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", International Conference on Parallel Architectures and Compilation Techniques, Chicago, IL, October 2022
  59. Wang, Memory-Efficient Differentiable Programming for Quantum Optimal Control of Discrete Lattices, EEE/ACM Third International Workshop on Quantum Computing Software (QCS), Dallas, TX, November 2022
  60. Chong, "Resource-Efficient Quantum Computing by Breaking Abstractions", Third International Workshop on Quantum Computing Software held in conjunction with SC22, Dallas, TX, November 2022
  61. de Jong, "Integrating HPC Quantum Chemistry with Quantum Computers", IBM Quantum Summit, New York, NY, November 2022
  62. de Jong, "Practical approaches to probing many-body systems with quantum computers", International Winter School in Quantum Information Science, Berkeley Lab, Berkeley, CA, January 2023
  63. Liu, “Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis”, APS March Meeting 2023, March 2023
  64. de Jong, "Practical approaches to probing many-body systems with quantum computers", NCSU Physics Department Colloquium, Raleigh, NC, March 2023
  65. Chong, "Greater Efficiency for Quantum Applications by Breaking Abstractions", DARPA IMPAQT Webinar, April 2023
  66. Liu, "Elevating Quantum Compiler Performance through Enhanced Awareness in the Compilation Stages", University of Notre Dame Quantum Computer System Lecture Series, April 2023
  67. Chong, "Enabling Quantum Applications with Physics-Aware Optimization, Classical Simulation, and Circuit Cutting", Quantum Computing Applications in Chemical and Biochemical Engineering Workshop, Technical University of Denmark, Lyngb, Denmark, May 2023
  68. Chong, "Modular Approaches to Scaling Quantum Machines", 3rd International Workshop on High Performance Chiplet and Interconnnect Architectures (HiPChips) co-located with ISCA 2023 at Orlando, FL, June 2023
  69. Chong, "Enabling Quantum Applications with Physics-Aware Optimization, Classical Simulation, and Circuit Cutting", Keynote, DOE ASCR Basic Research Needs in Quantum Computing and Networking, Washington, DC, July 2023
  70. de Jong, "Practical approaches to probing many-body systems with quantum computers", IEEE International Conference on Quantum Software (QSW), Chicago, IL, July 2023
  71. de Jong, “Integrating HPC and quantum computers”, BoF at 4th IEEE International Conference on Quantum Computing & Engineering (QCE23), Denver, CO, September 2023
  72. Chong, "Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design", Tulane University, New Orleans, LA, October 2023
  73. de Jong, “Overview of Berkeley Lab’s quantum computing and quantum information science capabilities”, LBNL-UTokyo Quantum Computing Workshop at the University of Tokyo, October 2023
  74. Chong, "Physics-Aware, Full-Stack Quantum Software Optimizations", SC23, Denver, CO, November 2023
  75. de Jong, "Enabling scientific discovery on quantum computers”, Computational Research Leadership Council (CRLC), Virtual, San Francisco State University, November 2023
  76. Chong, "Physics-Aware, Full-Stack Quantum Software Optimizations", Pittsburgh Quantum Institute, Pittsburgh, PA, December 2023
  77. de Jong, “Towards Practical Applications on Quantum Computers”, 6th R-CCS International Symposium at RIKEN, Kobe, Japan, January  2024
  78. Chong, "Physics-Aware, Full-Stack Quantum Software Optimizations", IBM Research, Virtual (Global), January 2024
  79. Cincio, "Generalization in quantum machine learning from few training data", IBM, NY, February 2024
  80. Cincio, "Solving materials science problems with quantum computers", APS March Meeting, MN, March 2024
  81. Cincio, "Generalization in quantum machine learning from few training data", Quantum-Classical Quantum Simulation conference, Lausanne, Switzerland, May 2024
Contributed Talks and Posters
  1. Lavrijsen, Urbanek, Metcalf, Muller, Nachman, Chamaki, Iancu, de Jong, "Optimizer-aware Circuit Design for Error Unfolding in Variational Quantum Eigensolver", APS March Meeting, March 2020
  2.  Arrasmith, Cincio, Somma, Coles, "Operator sampling for shot-frugal optimization in variational algorithms", Quantum Techniques in Machine Learning (QTML), November 2020
  3. Cerezo, "Barren plateaus and trainability in quantum neural networks", Quantum Techniques in Machine Learning (QTML), November 2020 
  4. Gokhale, Angiuli, Ding, Gui, Tomesh, Suchara, Martonosi, Chong, “Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications”, 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), October 2020 (IBM Q Best Paper)
  5. Nguyen, Santana, McCaskey, "Extending XACC for Quantum Optimal Control," 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), October 2020
  6. Baker, Duckering, Chong, “Efficient Quantum Circuit Decompositions via Intermediate Qudits”, ISMVL 2020 
  7. Baker, Duckering, Hoover, Chong, “Time-Sliced Quantum Circuit Partitioning for Modular Architectures”, Computing Frontiers 2020
  8. Ding, Wu, Holmes, Wiseth, Franklin, Martonosi, Chong, “SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation”, ISCA 2020
  9. Bassman, "ArQTiC: A Full-Stack Software Package for Dynamic Simulations of Materials on Quantum Computers", First International Workshop on Quantum Computing Software Supercomputing at SC20, November 2020
  10. Claudino, Santana, Kharazi, McCaskey, "XACC: A Service-Oriented Software Architecture for Quantum Computing", First International Workshop on Quantum Computing Software Supercomputing at SC20, November 2020
  11. Nguyen, Liakh, Dumitrescu, McCaskey, "Tensor Network Quantum Virtual Machine for Exascale Computing", First International Workshop on Quantum Computing Software at SC20, November 2020 
  12. Younis, Sen, Yelick, Iancu, "QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space", 4th International Workshop on Quantum Compilation (IWQC), November 2020
  13. Finkel, McCaskey, Popoola, Liakh, Doerfert, "Really Embedding Domain-Specific Languages into C++", LLVM in HPC Supercomputing 2020 Workshop. 
  14. Finkel, McCaskey, Popoola, J. Doerfert, "Changing Everything with Clang Plugins: A Story about Syntax Extensions, Clang’s AST, and Quantum Computing", 2020 LLVM Developer’s Meeting. 
  15. Nguyen, McCaskey, "Scalable Pulse-level Software Infrastructure for the XACC Framework", OLCF Quantum Computing User Forum 2020
  16. Nguyen, Santana, McCaskey, "Extending XACC for Quantum Optimal Control", IBM Quantum Summit 2020, September 2020
  17. Bassman, de Jong, Powers, "ArQTiC: A full-stack software package for dynamic simulations of materials on quantum computers", SC20 First International Workshop on Quantum Computing Software, November 2020
  18. Gui, Tomesh, Gokhale, Shi, Martonosi, Suchara, Chong. "Circuit Optimization for Simulations of Quantum Systems", APS March Meeting, March 2021
  19. Cerezo, “Barren Plateaus in Quantum Neural Networks”, APS March Meeting, March 2021
  20. Pesah, "Absence of barren plateaus in quantum convolutional neural networks”, APS March Meeting, March 2021 
  21. Bassman, "Computing Free Energy with Fluctuation Relations on Quantum Computers", APS March Meeting, March 2021
  22. Shaydulin, "Classical Symmetries and QAOA", APS March Meeting, March 2021
  23. Bassman, "Computing Free Energy with Fluctuation Relations on Quantum Computers", ACS Spring Meeting, April 2021
  24. Shaydulin, "Classical Symmetries and QAOA", Sixth International Conference for Young Quantum Information Scientists, April 2021
  25. Shaydulin, "Classical Symmetries and QAOA", SIAM Conference on Optimization (OP21), July 2021
  26. Shaydulin, "Towards Practical Advantage in Quantum Optimization", QIC seminar University of Delaware, September 2021
  27. Shaydulin, "Classical Symmetries and QAOA", QCE21 - IEEE Quantum Week 2021, October, 2021
  28. Shaydulin, "Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries", QCE21 - IEEE Quantum Week 2021, October,2021
  29. Shaydulin, "QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA", Supercomputing '21, November 2021
  30. Shaydulin, “Standardized Low-Level Noise Characterization to Differentiate DOE Quantum Testbeds”, DOE Quantum Computing Testbeds Stakeholder Workshop, December 2021
  31. Cerezo, "Barren Plateaus and Trainability in Quantum Neural Networks: A perspective from the Inductive Biases viewpoint", Quantum Information Processing ’22, Pasadena, CA, March 2022
  32. Shaydulin, "Importance of Kernel Bandwidth in Quantum Machine Learning", Quantum Information Processing ’22, Pasadena, CA, March 2022
  33. Sarovar, "Scalable verification of quantum algorithm circuits", APS March Meeting 2022, Chicago, IL, March 2022
  34. Calderon-Vargas, "Quantum circuit debugging via layer inversion", APS March Meeting 2022, Chicago, IL, March 2022
  35. Shaydulin, "Importance of Kernel Bandwidth in Quantum Machine Learning", APS March Meeting 2022, Chicago, IL, March 2022
  36. Davis, "Gate-Set Exploration using High-Quality Numerical Synthesis", APS March Meeting 2022, Chicago, IL, March 2022
  37. Weiden, "Topology Aware Unitary Synthesis for Scalable Quantum Circuit Optimization", APS March Meeting 2022, Chicago, IL, March 2022
  38. Younis, "Building Domain-Specific Compilers Using Parameterized Circuit Instantiation", APS March Meeting 2022, Chicago, IL, March 2022
  39. Patel, "Robust Quantum Circuit Approximation for Resource-Efficient Circuit Synthesis", APS March Meeting 2022, Chicago, IL, March 2022
  40. Cerezo, "Diagnosing barren plateaus with tools from quantum optimal control", APS March Meeting 2022, Chicago, IL, March 2022
  41. Bassman, "Computing Free Energy with Fluctuation Relations on Quantum Computers" 6th Annual UCI Postdoctoral Research Symposium, Irvine, CA, April 2022
  42. Bassman, "Computing Free Energy with Fluctuation Relations on Quantum Computers" Quantum Computing Applications in Chemical and Biochemical Engineering Workshop, Copenhagen, Denmark, April 2022
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Logo of the AIDE-QC project for presentations and posters.