Publications
  1. "Enabling Pulse-level Programming, Compilation, and Execution in XACC" by Nguyen, McCaskey, in IEEE Transactions on Computers (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. "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)
  5. "Operator Sampling for Shot-frugal Optimization in Variational Algorithms" by Arrasmith, Cincio, Somma and Coles
  6. "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)
  7. "Extending the Frontier of Quantum Computers with Qutrits" by Gokhale, Baker, Duckering, Brown, Brown, Chong, in IEEE Micro 40, 64 (2020) - DOI:10.1109/MM.2020.2985976 (Award Paper)
  8. "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
  9. "Time-Sliced Quantum Circuit Partitioning for Modular Architectures" by Baker, Duckering, Hoover, Chong, CF'20: Proceedings of the 17th ACM International Conference on Computing Frontiers, 98 (2020) - DOI:10.1145/3387902.3392617
  10. "SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation" by Ding, Wu, Holmes, Wiseth, Franklin, Martonosi, Chong, 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 570 (2020) - DOI:10.1109/ISCA45697.2020.00054
  11. "Trainability of Dissipative Perceptron-Based Quantum Neural Networks" by Sharma, Cerezo, Cincio, Coles
  12. "Large gradients via correlation in random parameterized quantum circuits" by Volkoff, Coles, Quantum Sci. Technol. 6, 025008 (2021) - DOI:10.1088/2058-9565/abd891
  13. "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/QCE49297.2020.00055
  14. "Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets" by Sharma, Cerezo, Holmes, Cincio, Sornborger, Coles 
  15. "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
  16. "Measuring the Capabilities of Quantum Computers" by Proctor, Rudinger, Young, Nielsen, Blume-Kohout
  17. "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
  18. "Really Embedding Domain-Specific Languages into C++" by Finkel, McCaskey, Popoola, Liakh, Doerfert, 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
  19. "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
  20. "Thermalization and prethermalization in periodically kicked quantum spin chains" by Fleckenstein, Bukov, Phys. Rev. B 103, 144307 (2021) - DOI:10.1103/PhysRevB.103.144307
  21. "Absence of Barren Plateaus in Quantum Convolutional Neural Networks" by Pesah, Cerezo, Wang, Volkoff, Sornborger, Coles
  22. "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
  23. "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
  24. "Effect of barren plateaus on gradient-free optimization" by Arrasmith, Cerezo, Czarnik, Cincio, Coles
  25. "CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations" by Tang, Tomesh, Larson, Suchara, Martonosi (Collaboration between AIDE-QC and FAR-QC), 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
  26. "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
  27. "Composable Programming of Hybrid Workflows for Quantum Simulation" by Nguyen, Bassman, Lyakh, McCaskey, Leyton-Ortega, Pooser, Elwasif, Humble, de Jong, 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C), pp. 110-116 (2021) - DOI:10.1109/ICSA-C52384.2021.00028
  28. "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
  29. "Connecting ansatz expressibility to gradient magnitudes and barren plateaus" by Holmes, Sharma, Cerezo, Coles
  30. "Constant-Depth Circuits for Dynamic Simulations of Materials on Quantum Computers" by Bassman, Van Beeumen, Younis, Smith, Iancu, de Jong
  31. "QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis" by Younis, Sen, Yelick, Iancu
  32. "Exploiting Symmetry Reduces the Cost of Training QAOA" by Shaydulin, Wild, in IEEE Transactions on Quantum Engineering, Vol. 2, pp. 1-9, Article 3101409 (2021) - DOI:10.1109/TQE.2021.3066275
  33. "A semi-agnostic ansatz with variable structure for quantum machine learning" by Bilkis, Cerezo, Verdon, Coles, Cincio
  34. "Orchestrated trios: compiling for efficient communication in Quantum programs with 3-Qubit gates" by Duckering, Baker, Litteken, Chong, 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
  35. "Equivalence of quantum barren plateaus to cost concentration and narrow gorges" by Arrasmith, Holmes, Cerezo, Coles
  36. "Improving Weak Simulation of Universal Quantum Circuits by Correlated L1 Sampling" by Kocia
  37. "Clifford Circuit Optimization with Templates and Symbolic Pauli Gates" by Bravyi, Shaydulin, Hu, Maslov
  38. "Variational quantum algorithms" by Cerezo, Arrasmith, Babbush,Benjamin, Endo, Gujii, McClean, Matarai, Yan, Cinco, Coles, Nature Rev. Phys. (2021) - DOI:10.1038/s42254-021-00348-9
  39. "QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis" by Wu, Davis, Chong, Iancu
  40. "Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries" by Shaydulin, Galda
  41. "ArQTiC: A full-stack software package for simulating materials on quantum computers" by Bassman, Powers, de Jong
  42. "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
  43. "QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation" by Nguyen, Bassman, Lotshaw, Lyakh, McCaskey, Leyton-Ortaga, Pooser, Elwasif, Humble, de Jong
  44. "Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices" by Wilson, Mueller, Bassman, Iancu
  45. "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
  46. "Leveraging Randomized Compiling for the QITE Algorithm" by Ville, Morvan, Hashim, Naik, Mitchell, Kreikebaum, O'Brien, Wallman, Hincks, Emerson, Smith, Younis, Iancu, Santiago, Siddiqi (Collaboration between AIDE-QC and AQT)
  47. "An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation" by Camps, Kokcu, Bassman, de Jong, Kemper, Van Beeumen
  48. "Algebraic Compression of Quantum Circuits for Hamiltonian Evolution" by Kokcu, Camps, Bassman, Freericks, de Jong, Van Beeumen, Kemper
  49. "Robust and Resource-Efficient Quantum Circuit Approximation" by Patel, Younis, Iancu, de Jong, Tiwari
  50. "Exploring Finite Temperature Properties of Materials with Quantum Computers" by Powers, Bassman, de Jong
Invited Talks
  1.  de Jong, “Variational NISQ Algorithms for Quantum Chemistry and Simulations”, Airforce Institute of Technology, January 2020
  2. de Jong, “Quantum Computing Today and in the Future as a Platform for Scientific Discovery”, Texas Tech University, February 2020
  3. de Jong, "Advancing Physical Sciences on Near-Term Quantum Computers", Quantum Computing User Forum, ORNL, April 2020
  4. Cerezo, “Trainability of quantum neural networks”, Seminar at National University of Singapore
  5. Coles, “Prospects and challenges for variational quantum algorithms”, Quantum Techniques in Machine Learning (QTML), November 2020
  6. Coles, “Barren plateau landscapes in variational quantum algorithms”, Seminar at University of Toronto
  7. Coles, “Barren plateaus and trainability of quantum neural networks”, Q2B, December 2020
  8. Coles, “Prospects and challenges for variational quantum algorithms”, AQIS Conference, December 2020
  9. 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
  10. Coles, “How to Design a Variational Quantum Algorithm”, QHack Hackathon, Xanadu, Canada, February 2021 
  11. Cerezo, “Trainability of Quantum Neural Networks“, Seminar at Innsbruck University, Austria, February 2021
  12. Cerezo, “Prospects and Challenges for Training Quantum Neural Networks”, QHack Hackathon, Xanadu, Canada, February 2021
  13. Cerezo, “Prospects and Challenges for Training Quantum Neural Networks“, ML4Q Conference, Germany, February 2021
  14. Holmes, “Expressibility and Trainability: Balancing the ingredients of an effective variational quantum algorithm”, Quantum Coffee Hour, Duke University, March 2021
  15. Coles, “Trainability of Quantum Neural Networks: Barren Plateaus and Scalability”, APS March Meeting, March 2021 
  16. Cerezo, “Variational Algorithm for Solving Linear Systems of Equations”, Quantum Tech Conference, United Kingdom, April 2021
  17. Holmes, “Expressibility and Trainability: Balancing the ingredients of an effective variational quantum algorithm", Quantum  Information  Theory  Seminar  Series,  Bristol  University,  UK, May 2021
  18. McCaskey, "Extending C++ for Quantum Classical Computing", TEAM / Unitary Fund Seminar, June 2020
  19. Coles, “Landscapes, Trainability, and Scalability of Variational Quantum Algorithms”, AQC Conference, June 2021 
  20. de Jong, "Advancing Physical Sciences on Near-Term Quantum Computers", ARQC Seminar Series, December 2020
  21. Bassman, "Building Blocks for Simulating Quantum Materials on Quantum Computers", IBM Quantum Applications Seminary, February 2021
  22. de Jong, "Open Problems in Chemistry on Quantum Computers", 2021 Lorentz-CECAM workshop ’Useful Quantum Computing for Quantum Chemistry', February 2021
  23. Shaydulin, “Classical Symmetries and QAOA", LANS Seminar Argonne National Laboratory, March 2021
  24. Shaydulin, “Classical Symmetries and QAOA", CM/QIS Seminar Virginia Tech, April 2021
  25. Shaydulin, “Towards Practical Advantage in Quantum Optimization”, Intel HPC-AI Colloquium, June 2021
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 
AIDE-QC Logo
Logo of the AIDE-QC project for presentations and posters.