Publications, Talks and Tutorials

Publications

1. "Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation" by Lee, Huggins, Head-Gordon, Whaley, J. Chem. Theory Comput. 15, 311 (2018) - DOI:10.1021/acs.jctc.8b01004

2. "Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator" by Bukov, Phys. Rev. B 98, 224305 (2018) - DOI:10.1103/PhysRevB.98.224305

3. "Disentangling Scrambling and Decoherence via Quantum Teleportation" by Yoshida and Yao, Phys. Rev. X 9, 011006 (2019) - DOI:10.1103/PhysRevX.9.011006

4. "Glassy Phase of Optimal Quantum Control" by Day, Bukov, Weinberg, Mehta, Sels, Phys. Rev. Let. 122, 020601 (2019) - DOI:10.1103/PhysRevLett.122.020601

5. "Towards Quantum Machine Learning with Tensor Networks" by Huggins, Patel, Whaley and Stoudenmire, Quantum Sci. Technol. 4, 024001 (2019) - DOI:10.1088/2058-9565/aaea94

6. "Verified Quantum Information Scrambling" by Landsman, Figgat, Schuster, Linke, Yoshida, Yao and Monroe, Nature 567, 61 (2019) - DOI:10.1038/s41586-019-0952-6

7. "Parametric Heating in a 2D Periodically Driven Bosonic System: Beyond the Weakly Interacting Regime" by Boulier, Maslek, Bukov, Bracamontes, Magnan, Lellouch, Demler, Goldman, Porto, Phys. Rev. X 9, 011047 (2019) - DOI:10.1103/PhysRevX.9.011047

8. "Probing scrambling using statistical correlations between randomized measurements" by Vermersch, Elben, Sieberer, Yao, Zoller, Phys. Rev. X 9, 021061 (2019) - DOI:10.1103/PhysRevX.9.021061

9. "A high-bias, low-variance introduction to Machine Learning for physicists" by Mehta, Bukov, Wang, Day, Richardson, Fisher, Schwab, Phys. Rep. 810, 1 (2019) - DOI:10.1016/j.physrep.2019.03.001

10. "Multistart methods for quantum approximate optimization" by Shaydulin, Safro, Larson, in 2019 IEEE High Performance Extreme Computing Conference (HPEC ‘19), pp. 1-8 (2019) - DOI:10.1109/HPEC.2019.8916288

11. "Quantum Chemistry in the Age of Quantum Computing" by Cao, Romero, Olson, Degroote, Johnson, Kieferová, Kivlichan, Menke, Peropadre, Sawaya, Sim, Veis, Aspuru-Guzik, Chem. Rev. 119, 10856 (2019) - DOI:10.1021/acs.chemrev.8b00803

12. "QuSpin: a Python Package for Dynamics and Exact Diagonalisation of Quantum Many Body Systems. Part II: bosons, fermions and higher spins", by Weinberg, Bukov, SciPost Phys. 7, 020 (2019) - DOI:10.21468/SciPostPhys.7.2.020

13. "Geometric Speed Limit of Accessible Many-Body State Preparation" by Bukov, Sels, Polkovnikov, Phys. Rev. X 9, 011034 (2019) - DOI:10.1103/PhysRevX.9.011034

14. "Discontinuous Galerkin discretization for quantum simulation of chemistry" by McClean, Faulstich, Zhu, O'Gorman, Qiu, White, Babbush, Lin, New J. Phys. 22, 093015 (2020) - DOI:10.1088/1367-2630/ab9d9f

15. "Parameterization of Tensor Network Contraction" by O'Gorman, in 14th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2019), Ed. van Dam and Mančinska, 10:1–10:19 (2019) - DOI:10.4230/LIPIcs.TQC.2019.10

16. "Engineered thermalization of quantum many-body systems" by Metcalf, Moussa, de Jong, Sarovar, Phys. Rev. Research 2, 023214 (2020) - DOI:10.1103/PhysRevResearch.2.023214

17. "Quantum error detection improves accuracy of chemical calculations on a quantum computer" by Urbanek, Nachman, de Jong, Phys. Rev. A 102, 022427 (2020) - DOI:10.1103/PhysRevA.102.022427

18. "A Non-Orthogonal Variational Quantum Eigensolver" by Huggins, Lee, Baek, O'Gorman, Whaley, New J. Phys. 22, 073009 (2020) - DOI:10.1088/1367-2630/ab867b

19. "Unfolding Quantum Computer Readout Noise" by Nachman, Urbanek, de Jong, Bauer, npj Quantum Inf. 6, 84 (2020) - DOI:10.1038/s41534-020-00309-7

20. "Policy gradient based quantum approximate optimization algorithm" by Yao, Bukov, Lin, Proc. Mach. Learn. Res. 107, 605 (2020)

21. "Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems" by Lin, Tong, Quantum 4, 361 (2020) - DOI:10.22331/q-2020-11-11-361

22. "Efficient and Noise Resilient Measurements for Quantum Chemistry on Near-Term Quantum Computers" by Huggins, McClean, Rubin, Jiang, Wiebe, Whaley, Babbush, npj Quantum Inf. 7, 23 (2021) - DOI:10.1038/s41534-020-00341-7

23. "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

24. "Wave Function Analysis with a Maximum Flow Algorithm" by Shepard, Brozell, Larson, Hovland, Leyffer, Mol. Phys. (2020) - DOI:10.1080/00268976.2020.1861351

25. "Quantum Computation of Eigenvalues within Target Intervals" by Jensen, Kristensen, Kottmann, Aspuru-Guzik, Quantum Sci. Technol. 6, 015004 (2021) - DOI:10.1088/2058-9565/abc096

26. "Classical Optimizers for Noisy Intermediate-Scale Quantum Devices" by Lavrijsen, Tudor, Müller, Iancu, de Jong, 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 267-277 (2020) - DOI:10.1109/QCE49297.2020.00041.

27. "Robust Control Optimization for Quantum Approximate Optimization Algorithm" by Dong, Meng, Lin, Kosut, Whaley, IFAC-PapersOnLine 53, 242 (2020) - DOI:10.1016/j.ifacol.2020.12.130

28. "QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space" by Younis, Sen, Yelick, Iancu

29. "Postponing the orthogonality catastrophe: efficient state preparation for electronic structure simulations on quantum devices" by Tubman, Zaera, Epstein, Hai, Levine, Huggins, Jiang, McClean, Babbush, Head-Gordon, Whaley

30. "Generalized swap networks for near-term quantum circuit embedding" by O'Gorman, Huggins, Rieffel, Whaley

31. "Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm" by An, Lin, ACM Transactions on Quantum Computing 3, 5 (2022) - DOI:10.1145/3498331

32. "Near-optimal ground state preparation" by Lin and Tong, Quantum 4, 372 (2020) - DOI:10.22331/q-2020-12-14-372

33. "An Artificial Spiking Quantum Neuron" by Kristensen, Degroote, Wittek, Aspuru-Guzik, Zinner, npj Quantum Inf. 7, 59 (2021) - DOI:10.1038/s41534-021-00381-7

34. "Efficient phase factor evaluation in quantum signal processing" by Dong, Meng, Whaley, Lin, Phys. Rev. A 103, 042419 (2021) - DOI:10.1103/PhysRevA.103.042419

35. "Noise Robustness and Experimental Demonstration of a Quantum Generative Adversarial Network for Continuous Distributions" by Anand, Romero, Degroote, Aspuru-Guzik, Adv. Quantum Technol. 2000069 (2021) - DOI:10.1002/qute.202000069

36. "Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark" by Don and Lin, Phys. Rev. A 103, 062412 (2021) - DOI:10.1103/PhysRevA.103.062412

37. "Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization" by Renganathan, Larson, Wild

38. "Tequila: A platform for rapid development of quantum algorithms" by Kottmann, Alperin-Lea, Tamayo-Mendoza, Cervera-Lierta, Lavigne, Yen, Verteletskyi, Schleich, Anand, Degroote, Chaney, Kesibi, Curnow, Izmaylov, Aspuru-Guzik, Quantum Sci. Technol. 6, 024009 (2021) - DOI:10.1088/2058-9565/abe567

39. "The Meta Variational Quantum Eigensolver: Learning energy profiles of parameterized Hamiltonians for quantum simulation" by Cervera-Lierta, Kottmann, Aspuru-Guzik, PRX Quantum 2, 020329 (2021) - DOI:10.1103/PRXQuantum.2.020329

40. "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

41. "Mutual information-assisted adaptive variational quantum eigensolver" by Zhang, Kyaw, Kottman, Degroote, Aspuru-Guzik, Quant. Sci. Tech. 6, 035001 (2021) - DOI:10.1088/2058-9565/abdca4

42. "Quantum Computer-Aided design of Quantum Optics Hardware" by Kottmann, Krenn, Kyaw, Alperin-Lea, Aspuru-Guzik, Quant. Sci. Tech. 6, 035010 (2021) - DOI:10.1088/2058-9565/abfc94

43. "Conceptual understanding through efficient inverse-design of quantum optical experiments" by Krenn, Kottmann, Tischler, Aspuru-Guzik, Phys. Rev. X 11, 031044 (2021) - DOI:10.1103/PhysRevX.11.031044

44. "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

45. "Natural evolutionary strategies for variational quantum computation" by Anand, Degroote and Aspuru-Guzik, Mach. Learn.: Sci. Technol. 2, 045012 (2021) - DOI:10.1088/2632-2153/abf3ac

46. "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), Broomfield, CO, USA, pp. 232-243 (2021) -DOI:10.1109/QCE52317.2021.00041

47. "Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware" by Klymko, Mejuto-Zaera, Cotton, Wudarski, Urbanek, Hait, Head-Gordon, Whaley, Moussa, Wiebe, de Jong, Tubman, PRX Quantum 3, 020323 (2022) - DOI:10.1103/PRXQuantum.3.020323

48. "LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach" by Smidt, Davis, Larson, Younis, Iancu, Lavrijsen

49. "Experimental high-dimensional Greenberger-Horne-Zeilinger entanglement with superconducting transmon qutrits" by Carvera-Lierta, Krenn, Aspuru-Guzik, Galda, Phys. Rev. Applied 17, 024062 (2022) - DOI:10.1103/PhysRevApplied.17.024062

50. "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

Invited Talks

1. de Jong, "Bypassing exascale computing with machine learning and quantum computing for chemical sciences", presented at IBM Almaden, CA - November 2017

2. de Jong, "Enabling Scientific Discovery in Chemical Sciences on Quantum Computers", Q2B Conference, Mountain View, CA - December 2017

3. de Jong, "Bypassing exascale with quantum computing for chemical sciences", PRIME Global Open Innovation Network workshop on Quantum Computing, San Francisco, CA - March 2018

4. de Jong, "Machine learning and quantum computing for chemistry as an alternative to exascale computing", Pitzer Center Theoretical Chemistry Seminar, Berkeley, CA - April 2018

5. Yao, "Quantum simulation of non-equilibrium phases", Algorithms for Today's Quantum Processors Workshop, Santa Monica CA - May 2018

6. de Jong, "Quantum chemistry and quantum computers as a platform for scientific discovery", Keynote, Joint Science Meeting Stony Brook and Japanese Universities, Stony Brook, NY - May 2018

7. Whaley, "Quantum Computation - the Promise and the Path", 16th International Conference on Quantum Chemistry, Menton, France - June 2018

8. Aspuru-Guzik, “The era of variational quantum algorithms.” 2018 Conference on Computational Physics, University of California-Davis, Davis, CA 29 - July 2018

9. Yao, "Verifying Scrambling via Quantum Teleportation", Dynamics and Dissipation in Quantum Simulation Workshop, Palo Alto CA - July 2018

10. de Jong, "Quantum at LBNL: A platform for scientific discovery”, Argonne Quantum Computing Workshop, Chicago, IL - July 2018

11. Aspuru-Guzik, “Quantum algorithms for chemistry” 2018 Bosonic Quantum Chemistry Workshop, Toronto, ON, Canada - August 2018

12. Whaley, "The Landscape of Quantum Algorithms", Keynote, The Quantum Computing Summit at AI Summit San Francisco 2018 - September 2018

13. Aspuru-Guzik, “Quantum Computing: Today and Tomorrow.” PBK Visiting Scholar Williams College, Williamstown, MA - September 2018

14. Whaley, "Quantum Computation - the Promise and the Path", Physical Chemistry Seminar, Department of Chemistry, UC Berkeley, Berkeley, CA - September 2018

15. O’Gorman, "Quantum computing at NASA", NASA Autonomy Workshop, Pittsburgh, PA - October 2018

16. Whaley, "Realization of QIP with molecular qubits – challenges and how theory can help", DOE Workshop "Chemical Systems for Quantum Computing", Arlington VA - November 2018

17. Aspuru-Guzik, “Quantum computing: The age of variational quantum algorithms.” QC Workshop-Kobe University, Kobe, Japan - Nov 2018.

18. Whaley, "Quantum Computing for electronic structure", Q2B: Quantum for Business Conference, Mountain View, CA - December 2018

19. Aspuru-Guzik, “Quantum Chemistry and Machine Learning”. TTD Management Data and Analytics Lab at Rotman Speaker Series - “The Frontier in Quantum Computing”, Toronto, ON, Canada - December 2018.

20. Yao, "Entanglement, AMO & new phases of matter", POTUS2019: Quantum Entanglement Science and Technology, Los Angeles, CA - January 2019

21. de Jong, "Advancing quantum computing as a platform for scientific discovery in chemical sciences ", RB19: RIKEN Berkeley Workshop in Quantum Information Science, Berkeley, CA - January 2019

22. Whaley, "Continuous Quantum Error Correction for Quantum Annealing", RB19: RIKEN Berkeley Workshop in Quantum Information Science, Berkeley, CA - January 2019

23. Whaley, "Continuous Quantum Error Correction for Quantum Annealing", SFB FoQuS International Conference, University of Innsbruck, Austria - February 2019

24. de Jong, "Quantum computing as a platform for scientific discovery in chemical sciences", LBNL Instrument Colloquium, Berkeley, CA - February 2019

25. Aspuru-Guzik, "Quantum Computer for Chemistry", Chemistry Students' Union hosting a seminar, University of Toronto - February 2019

26. Lavrijsen, "Introduction to Quantum Computing", University of Tokyo, Japan - February 2019

27. Aspuru-Guzik, "Quantum Computing for Chemistry: Status and prospects", 2019 APS March meeting DCP Focused session “Molecular Magnetism and Quantum Information”, Boston, MA - March 2019.

28. Aspuru-Guzik, "Quantum algorithms for near-term quantum computers", Physics & Astronomy Colloquium University of Waterloo, Waterloo, ON - April 2019

29. Aspuru-Guzik, "Quantum algorithms for near-term quantum computers", Dept. of Engineering Physics at Polytechnique Montréal, Montréal, QC - April 2019

30. Wild, "Exploiting Structure in Derivative-Free Nonlinear Optimization to Advance Science and Engineering.", Lehigh University INFORMS Chapter Distinguished Speaker Series: Bethlehem, PA - April 2019

31. Yao, "Three ideas for quantum simulations with Polar Molecules", ITAMP workshop, Cambridge, MA - May 2019

32. de Jong, “How about quantum computing?”, 2019 Computing Sciences Summer Student Seminar Series, Berkeley, CA - June 2019

33. de Jong, “Quantum Computing as a Platform for Scientific Discovery in Chemical Sciences”, Beyond Lithium Ion XVII, Denver, CO - June 2019

34. Yao, "Emergent Hydrodynamics and Phases of Matter in Non-Equilibrium Floquet Systems", Atomic Physics Gordon Conference, Newport, RI - June 2019

35. de Jong, “Mathematical Challenges Advancing Quantum Computing for Chemical Sciences”, Plenary talk, 19^th International Conference on Computational and Mathematical Methods in Science and Engineering, (CMMSE) Costa Ballena, Cádiz, Spain - July 3 2019

36. Yao, "Non-equilibrium phases of matter", Aspen Center for Physics Colloquium, Aspen, CO - July 2019

37. Aspuru-Guzik, "Computo Cuántico para Química.” La Red Latinoamericana de Fisicoquímica Teórica (RedLatFQT) Webinar – September 2019

38. de Jong, "Getting value today from NISQ-Era machines, while preparing for tomorrow’s Quantum future", Closing Keynote, Quantum.Tech, Boston, MA - September 2019

39. Degroote, “Quantum Chemistry on Near-Term Quantum Devices”, CECAM Israel Workshop, From Quantum Computing to Quantum Chemistry: Theory, Platforms, and Practical Applications, Tel-Aviv, Israel - September 2019

40. Larson, "Optimization for Quantum Systems". Argonne National Laboratory, Chicago, IL - September 2019

41. Aspuru-Guzik, "Quantum algorithms for near-term quantum computers.” Keynote Speaker, Quantum Institute, Université de Sherbrooke, Sherbrooke, Canada - October 2019

42. Degroote, “Inside the latent space of a quantum variational autoencoder”, Quantum Techniques in Machine Learning, Daejeon, South Korea - October 2019

43. Wild, "Robust Design and Optimization for Advancing Science and Engineering." 2019 Design & Analysis of Experiments Conference (DAE19), Knoxville, TN - October 2019

44. Aspuru-Guzik, "Advancing Molecular Sciences by Machine learning and Quantum Computing", Lectureship Award Symposium, Atlanta, GA - October 2019

45. Lin, “Quantum linear system solver”, Applied and Computational Mathematics Seminar, UW Madison, WI - December 2019

46. Huggins, "A Non-Orthogonal Variational Quantum Eigensolver", presented at IBM Almaden, CA - November 2019

47. Aspuru-Guzik, “Introduction to Quantum Computing for Chemistry — A tutorial.” First International Conference on the Frontiers of Quantum Science and Technology, National Taiwan University, Taipei City, Taiwan - December 2019

48. Aspuru-Guzik, “Variational Quantum Algorithms for Machine Learning.” First International Conference on the Frontiers of Quantum Science and Technology. National Taiwan University, Taipei City, Taiwan - December 2019

49. Huggins, "Using as Little Quantum Computing as Possible for Quantum Chemistry", Q2B Conference, Mountain View, CA - December 2019

50. de Jong, “Variational NISQ Algorithms for Quantum Chemistry and Simulations”, Airforce Institute of Technology, Dayton, OH - January 2020

51. de Jong, “Quantum Computing Today and in the Future as a Platform for Scientific Discovery”, Texas Tech University, Lubbock, TX - February 2020

52. Whaley, “Quantum Control for Quantum Algorithm Design”, 22^nd Annual SQUINT Conference, Eugene, OR - February 2020

53. Aspuru-Guzik, “The era of variational quantum algorithms.” Application of QC: Quantum Chemistry. Remote presentation for The Israeli Quantum computing Community (Qubit) - February 2020

54. de Jong, "Advancing Chemical Sciences on Near-Term Quantum Computers", QLCI Workshop at Sanibel, St. Simons Island, GA - February 2020

55. Whaley, “Reducing Costs for Quantum Chemistry on NISQ Computers”, Simons Institute for the Theory of Computing, Workshop on Quantum Algorithms, Berkeley, CA - February 2020

56. Kottmann, “Designing Variational Quantum Algorithms with Tequila”; Quantum Research Seminars Toronto (QRST) - April 2020

57. de Jong, “Advancing Physical Sciences on Near-Term Quantum Computers”, Quantum Computing User Forum (Virtual Conference), Oakridge, TN - April 2020

58. Whaley, “Quantum Control and Measurement for Quantum Algorithm Design”, Quantum Computing Theory in Practice (QCTIP) 2020 (Virtual Conference), Cambridge, UK - April 2020

59. Kottmann, "Designing Variational Quantum Algorithms with Tequila", Zaiku Group Research Seminar - May 2020

60. Aspuru-Guzik, "The age of variational quantum algorithms", Remote Workshop, Oxford Quantum Information Society - May 2020

61. Lin, "Quantum Linear Algebra with Near-Optimal Complexities", Quantum seminar (virtual), Simons Institute - May 2020

62. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Max Planck Institute for the Science of Light, Seminar (online), Germany - June 2020

63. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", A.I. Socratic Circles - AISC - June 2020

64. Lin, "Towards a quantum LINPACK benchmark", Google Quantum Symposium - July 2020

65. Alperin-Lea, “Making Quantum Computing Easier through Fine Spirits”, Invide Git-Commit Developer Showcase - July 2020

66. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Matter lab Seminar, University of Toronto, Canada - August 2020

67. Kottmann, “System-adapted Quantum Chemistry with Tequila”; IEEE Quantum Week, Quantum Software Workshop (Virtual Conference) - October 2020

68. Cervera-Lierta, “Designing Variational Quantum Algorithms with Tequila”, Quantum Conversations by the Bay - October 2020

69. Cervera-Lierta, “Testing and designing quantum algorithms for the NISQ era”, INT Program INT-20-3 Quantum Computing and Simulation on Near-Term Devices (Virtual) - October 2020.

70. Lin, Plenary talk, "HPC+AI: pushing molecular dynamics with ab initio accuracy to 100 million atoms", New York Scientific Data Summit (virtual) - October 2020

71. Kottmann, "System-adapted Quantum Chemistry with Tequila”, IEEE Quantum Week, Quantum Software Workshop - October 2020

72. Lin, "Quantum Numerical Linear Algebra", MIT Computational Science and Engineering Distinguished Seminar Series (virtual) - October 2020

73. Cervera-Lierta, “Quantum Computing in the NISQ era”, UCL Quantum Technologies Winter School, London, UK (Virtual) - December 2020

74. Kottmann, "Gradients, Orbitals, Circuits and how to combine them", QHack - February 2021

75. Cervera-Lierta, "Please, feed the quantum troll", QHACK - February 2021

76. Cervera-Lierta, "Noisy Intermediate-Scale Quantum algorithms", BQPi Colloquium (Belgium Quantum Initiative) - March 2021

77. Cervera-Lierta, "The Meta-Variational Quantum Eigensolver", APS March Meeting 2021

78. Klymko, "Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware", Theory Seminar at CU Boulder (virtual) - April 2021

79. Cervera-Lierta, "Noisy Intermediate-Scale Quantum algorithms", Alexandria Quantum Computing Hypatia Series - April 2021

80. Cervera-Lierta, "Noisy Intermediate-Scale Quantum algorithms", Semana Ingeniería Física (Univesidad Iberoamericana) - April 2021

81. Cervera-Lierta, "Maximal entanglement in high-energy physics", Nuclear Theory series, University of Maryland - April 2021

82. Klymko, "Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware", Seminar (virtual), Emory University - May 2021

83. Cervera-Lierta, "The Meta-Variational Quantum Eigensolver”, SciML Webinar - May 2021

84. Cervera-Lierta, "Experimental generation of qutrit GHZ state”, CQE Workshop - May 2021

85. Kottmann, "Quantum Computer Assisted Design of Quantum Optics Hardware", Photonics North - May 2021

86. Cervera-Lierta, "The Meta-Variational Quantum Eigensolver”, Oxford’s Quantum Information Society - May 2021

87. Klymko, "Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware", Seminar (virtual), Cambridge Quantum Computing, UK - May 2021

88. Cervera-Lierta, "Experimental generation of qutrit GHZ state", Qiskit Europe Hackathon - May 2021

89. Cervera-Lierta, "The Meta-Variational Quantum Eigensolver", QWorldQuantum Science Days - June 2021

Contributed Talks and Posters

1. O’Gorman, "From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz", Poster Session, Quantum Information Processing, Delft, Netherlands - January 2018

2. O’Gorman, "Parallelizing O(n^k) gates in O(n^{k-1}) depth", Workshop on Quantum Computing, International Conference on Parallel Processing, Eugene, OR - August 2018

3. O’Gorman, Huggins, Rieffel, Whaley, "Instance-independent quantum circuit embedding", Quantum Information Processing 2019, Boulder, CO - January 2019

4. Urbanek, Lavrijsen, de Jong, "End-to-end quantum chemistry simulations with reduced errors", 2019 APS March meeting, Boston, MA - March 2019

5. Buluc, de Jong, Iancu, Lavrijsen, Sen, Urbanek, "Algorithm-Centric Error Mitigation", 2019 APS March meeting, Boston, MA - March 2019

6. Lavrijsen, Tudor, Larson, Sung, Linder, Mueller, McClean, Babbush, Urbanek, Iancu, de Jong, "SKQuant-Opt: Optimizers for Noisy Intermediate-Scale Quantum Devices", 2019 APS March meeting, Boston, MA - March 2019

7. O.Gorman, "Parameterization of Tensor Network Contraction", 14th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC) 2019, College Park, MD - June 2019

8. Degroote, “Near-term Algorithms for Quantum Machine Learning”, Conference for Quantum Information and Quantum Control VIII, Fields Institute, Toronto, Canada - August 2019

9. Larson, "Optimization for Quantum Systems" (Poster). Chicago Quantum Exchange Member and Partner Workshop, University of Chicago, Chicago, IL - October 2019

10. Wild, "Robust Design and Optimization for Advancing Science and Engineering." 2019 Design & Analysis of Experiments Conference (DAE19), Knoxville, TN - October 2019

11. Mendoza, Degroote, Carrasquilla, Aspuru-Guzik, “Quantum autoencoder for symmetries in Hamiltonians”, Quantum Techniques in Machine Learning, Daejeon, South Korea - October 2019

12. Renganathan, "Bayesian Optimization of Expensive Oracles with Input-dependent, Correlated Noise", Argonne Postdoctoral Symposium, Chicago, IL - November 2019

13. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Matter lab Seminar, University of Toronto, Canada. August 2020

14. Kottmann, “Quantum Computer- Assisted Design of Quantum Optics Hardware”. Quantum Technologies in Machine Learning (QTML) - November 2020.

15. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Q-Turn 2020 - November 2020.

16. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Quantum Technologies in Machine Learning (QTML) - November 2020.

17. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Quantum 2020 - October 2020.

18. Krenn, "Conceptual understanding through efficient inverse-design of quantum optical experiments", Photonics Online Meetup #POM20Ju - June 2020.

19. Klymko, "Phase cancellation diagonalization method: A general approach to non-orthogonal basis sets for quantum devices", 2021 APS March Meeting, Virtual - March 2021.

20. Klymko, "Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware", 2021 ACS Spring Meeting, Virtual - April 2021

Tutorials and Outreach

1. "Quantum Computing for Scientific Applications", SC18, Iancu, de Jong, Lougovski, Parekh, McClean, Rubin, Javadi, Venturelli

2. "Practical Aspects of Building a Software Stack for Noisy Intermediate-Scale Quantum Devices", ASPLOS 2019, Iancu, Lavrijsen, Dalen, Javadi

3. "Quantum Computing for Scientific Applications in the Noisy Intermediate-Scale Quantum Device Era", ISC19, Iancu, de Jong, Parekh, Sarovar, Metodi, Dumitrescu, Powers

4. Invited Panelist, “How to Get a Job in Quantum Computing”, 2020 IBM Qiskit Global Summer School, a two-week intensive course teaching quantum computing with over 5000 students, Whaley

*Author in bold is QAT4Chem PI.

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