# Publications, Talks and Tutorials

**Publications**

- "Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation" by Lee,
**Huggins**, Head-Gordon,**Whaley**,*J. Chem. Theory Comput.***15**, 311 (2018) - "Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator" by
**Bukov**,*Phys. Rev. B***98**, 224305 (2018) - "Disentangling Scrambling and Decoherence via Quantum Teleportation" by Yoshida and
**Yao**,*Phys. Rev. X***9**, 011006 (2019) - "Glassy Phase of Optimal Quantum Control" by Day, Bukov, Weinberg, Mehta, Sels,
*Phys. Rev. Let.***122**, 020601 (2019) - "Towards Quantum Machine Learning with Tensor Networks" by
**Huggins**, Patel,**Whaley**and Stoudenmire,*Quantum Sci. Technol.***4**, 024001 (2019) - "Verified Quantum Information Scrambling" by Landsman, Figgat, Schuster, Linke, Yoshida,
**Yao**and Monroe,*Nature***567**, 61 (2019) - "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) - "Probing scrambling using statistical correlations between randomized measurements" by Vermersch, Elben, Sieberer,
**Yao**, Zoller,*Phys. Rev. X***9**, 021061 (2019) - "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** - "A high-bias, low-variance introduction to Machine Learning for physicists" by Mehta, Bukov, Wang, Day, Richardson, Fisher, Schwab,
*Phys. Rep.***810**, 1 (2019) - "Generalized swap networks for near-term quantum circuit embedding" by O'Gorman, Huggins, Rieffel,
**Whaley** - "Multistart methods for quantum approximate optimization" by Shaydulin, Safro,
**Larson** - "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) - "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) **"**An Artificial Spiking Quantum Neuron" by Kristensen, Degroote, Wittek,**Aspuru-Guzik**, Zinner- "Geometric Speed Limit of Accessible Many-Body State Preparation" by
**Bukov**, Sels, Polkovnikov,*Phys. Rev. X***9**, 011034 (2019) - "Efficient and Noise Resilient Measurements for Quantum Chemistry on Near-Term Quantum Computers" by Huggins, McClean, Rubin, Jiang, Wiebe,
**Whaley**, Babbush - "Discontinuous Galerkin discretization for quantum simulation of chemistry" by McClean, Faulstich, Zhu, O'Gorman, Qiu, White, Babbush,
**Lin** - "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)
**"**Engineered thermalization of quantum many-body systems" by Metcalf, Moussa,**de Jong**, Sarovar- "Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm" by An,
**Lin** - "Quantum error detection improves accuracy of chemical calculations on a quantum computer" by Urbanek, Nachman,
**de Jong** - "Unfolding Quantum Computer Readout Noise" by Nachman, Urbanek,
**de Jong**, Bauer - "Solving quantum linear system problem with near-optimal complexity" by
**Lin,**Tong - "Robust Control Optimization for Quantum Approximate Optimization Algorithm" by Dong, Meng,
**Lin**, Kosut,**Whaley** - "A Non-Orthogonal Variational Quantum Eigensolver" by Huggins, Lee, Baek, O'Gorman,
**Whaley**

**Invited Talks**

**de Jong**, "Bypassing exascale computing with machine learning and quantum computing for chemical sciences", presented at IBM Almaden, CA - November 2017**de Jong**, "Enabling Scientific Discovery in Chemical Sciences on Quantum Computers", Q2B Conference, Mountain View, CA - December 2017**de Jong**, "Bypassing exascale with quantum computing for chemical sciences", PRIME Global Open Innovation Network workshop on Quantum Computing, San Francisco, CA - March 2018**de Jong**, "Machine learning and quantum computing for chemistry as an alternative to exascale computing", Pitzer Center Theoretical Chemistry Seminar, Berkeley, CA - April 2018**Yao**, "Quantum simulation of non-equilibrium phases", Algorithms for Today's Quantum Processors Workshop, Santa Monica CA - May 2018**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**Whaley**, "Quantum Computation - the Promise and the Path", 16th International Conference on Quantum Chemistry, Menton, France - June 2018**Aspuru-Guzik**, “The era of variational quantum algorithms.” 2018 Conference on Computational Physics, University of California-Davis, Davis, CA 29 - July 2018**Yao**, "Verifying Scrambling via Quantum Teleportation", Dynamics and Dissipation in Quantum Simulation Workshop, Palo Alto CA - July 2018**de Jong**, "Quantum at LBNL: A platform for scientific discovery”, Argonne Quantum Computing Workshop, Chicago, IL - July 2018**Aspuru-Guzik**, “Quantum algorithms for chemistry” 2018 Bosonic Quantum Chemistry Workshop, Toronto, ON, Canada - August 2018**Whaley**, "The Landscape of Quantum Algorithms", Keynote, The Quantum Computing Summit at AI Summit San Francisco 2018 - September 2018**Aspuru-Guzik**, “Quantum Computing: Today and Tomorrow.” PBK Visiting Scholar Williams College, Williamstown, MA - September 2018**Whaley**, "Quantum Computation - the Promise and the Path", Physical Chemistry Seminar, Department of Chemistry, UC Berkeley, Berkeley, CA - September 2018- O’Gorman, "Quantum computing at NASA", NASA Autonomy Workshop, Pittsburgh, PA - October 2018
**Whaley**, "Realization of QIP with molecular qubits – challenges and how theory can help", DOE Workshop "Chemical Systems for Quantum Computing", Arlington VA - November 2018**Aspuru-Guzik**, “Quantum computing: The age of variational quantum algorithms.” QC Workshop-Kobe University, Kobe, Japan - Nov 2018.**Whaley**, "Quantum Computing for electronic structure", Q2B: Quantum for Business Conference, Mountain View, CA - December 2018**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.**Yao**, "Entanglement, AMO & new phases of matter", POTUS2019: Quantum Entanglement Science and Technology, Los Angeles, CA - January 2019**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**Whaley**, "Continuous Quantum Error Correction for Quantum Annealing", RB19: RIKEN Berkeley Workshop in Quantum Information Science, Berkeley, CA - January 2019**Whaley**, "Continuous Quantum Error Correction for Quantum Annealing", SFB FoQuS International Conference, University of Innsbruck, Austria - February 2019**de Jong**, "Quantum computing as a platform for scientific discovery in chemical sciences", LBNL Instrument Colloquium, Berkeley, CA - February 2019**Aspuru-Guzik**, "Quantum Computer for Chemistry", Chemistry Students' Union hosting a seminar, University of Toronto - February 2019**Lavrijsen**, "Introduction to Quantum Computing", University of Tokyo, Japan - February 2019-
**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. **Aspuru-Guzik**, "Quantum algorithms for near-term quantum computers", Physics & Astronomy Colloquium University of Waterloo, Waterloo, ON - April 2019**Aspuru-Guzik**, "Quantum algorithms for near-term quantum computers", Dept. of Engineering Physics at Polytechnique Montréal, Montréal, QC - April 2019**Wild**, "Exploiting Structure in Derivative-Free Nonlinear Optimization to Advance Science and Engineering.", Lehigh University INFORMS Chapter Distinguished Speaker Series: Bethlehem, PA - April 2019**Yao**, "Three ideas for quantum simulations with Polar Molecules", ITAMP workshop, Cambridge, MA - May 2019**de Jong,**“How about quantum computing?”, 2019 Computing Sciences Summer Student Seminar Series, Berkeley, CA - June 2019**de Jong**, “Quantum Computing as a Platform for Scientific Discovery in Chemical Sciences”, Beyond Lithium Ion XVII, Denver, CO - June 2019**Yao**, "Emergent Hydrodynamics and Phases of Matter in Non-Equilibrium Floquet Systems", Atomic Physics Gordon Conference, Newport, RI - June 2019**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**Yao**, "Non-equilibrium phases of matter", Aspen Center for Physics Colloquium, Aspen, CO - July 2019**Aspuru-Guzik**, "Computo Cuántico para Química.” La Red Latinoamericana de Fisicoquímica Teórica (RedLatFQT) Webinar – September 2019**de Jong**, "Getting value today from NISQ-Era machines, while preparing for tomorrow’s Quantum future", Closing Keynote, Quantum.Tech, Boston, MA - September 2019**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**Larson**, "Optimization for Quantum Systems". Argonne National Laboratory, Chicago, IL - September 2019**Aspuru-Guzik**, "Quantum algorithms for near-term quantum computers.” Keynote Speaker, Quantum Institute, Université de Sherbrooke, Sherbrooke, Canada - October 2019**Degroote**, “Inside the latent space of a quantum variational autoencoder”, Quantum Techniques in Machine Learning, Daejeon, South Korea - October 2019**Wild**, "Robust Design and Optimization for Advancing Science and Engineering." 2019 Design & Analysis of Experiments Conference (DAE19), Knoxville, TN - October 2019**Aspuru-Guzik**, "Advancing Molecular Sciences by Machine learning and Quantum Computing", Lectureship Award Symposium, Atlanta, GA - October 2019**Lin**, “Quantum linear system solver”, Applied and Computational Mathematics Seminar, UW Madison, WI - December 2019- Huggins, "A Non-Orthogonal Variational Quantum Eigensolver", presented at IBM Almaden, CA - November 2019
**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**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- Huggins, "Using as Little Quantum Computing as Possible for Quantum Chemistry", Q2B Conference, Mountain View, CA - December 2019
- de Jong, “Quantum Computing Today and in the Future as a Platform for Scientific Discovery”, Texas Tech University, Lubbock, TX - February 7, 2020
- de Jong, “Variational NISQ Algorithms for Quantum Chemistry and Simulations”, Airforce Institute of Technology, Dayton, OH - January 30, 2020

**Contributed Talks and Posters**

- O’Gorman, "From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz", Poster Session, Quantum Information Processing, Delft, Netherlands - January 2018
- 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
- O’Gorman, Huggins, Rieffel,
**Whaley**, "Instance-independent quantum circuit embedding", Quantum Information Processing 2019, Boulder, CO - January 2019 - Urbanek, Lavrijsen,
**de Jong**, "End-to-end quantum chemistry simulations with reduced errors", 2019 APS March meeting, Boston, MA - March 2019 **Buluc**,**de Jong**,**Iancu**, Lavrijsen, Sen, Urbanek, "Algorithm-Centric Error Mitigation", 2019 APS March meeting, Boston, MA - March 2019- 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 - 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
**Degroote**, “Near-term Algorithms for Quantum Machine Learning”, Conference for Quantum Information and Quantum Control VIII, Fields Institute, Toronto, Canada - August 2019**Larson**, "Optimization for Quantum Systems" (Poster). Chicago Quantum Exchange Member and Partner Workshop, University of Chicago, Chicago, IL - October 2019- Mendoza, Degroote, Carrasquilla,
**Aspuru-Guzik**, “Quantum autoencoder for symmetries in Hamiltonians”, Quantum Techniques in Machine Learning, Daejeon, South Korea - October 2019

**Tutorials**

- "Quantum Computing for Scientific Applications", SC18,
**Iancu**,**de Jong**, Lougovski, Parekh, McClean, Rubin, Javadi, Venturelli - "Practical Aspects of Building a Software Stack for Noisy Intermediate-Scale Quantum Devices", ASPLOS 2019,
**Iancu**, Lavrijsen, Dalen, Javadi - "Quantum Computing for Scientific Applications in the Noisy Intermediate-Scale Quantum Device Era", ISC19,
**Iancu**,**de Jong**, Parekh, Sarovar, Metodi, Dumitrescu, Powers

*Author in bold is QAT4Chem PI.

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