Research training through individualized quantum projects.

• Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems arXiv

• Setting angles in quantum approximate optimization at utility-scale arXiv

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• From quantum feature maps to quantum reservoir computing: perspectives and applications arXiv

• Neural Deep Operator Networks representation of Coherent Ising Machine Dynamics Source

• Bayesian Optimization Priors for Efficient Variational Quantum Algorithms DOIarXiv
• Surrogate optimization of variational quantum circuits DOIarXiv

• Preparing quantum many-body scar states on quantum computers DOIarXiv
• Pre-optimizing variational quantum eigensolvers with tensor networks arXiv
• Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning arXiv

• Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees arXiv
• Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing arXiv
• Mind the O~: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms Source
• Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem arXiv

• Assessing and advancing the potential of quantum computing: A NASA case study DOI
• The USRA Feynman Quantum Academy: If You Give a Student a Quantum Internship arXiv

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• Optimization Applications as Quantum Performance Benchmarks DOIarXiv
• Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications DOIarXiv
• Stochastic Optimization Solvers Benchmark code repository Source

• A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications arXiv

• Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers DOIarXiv
• Non-Equilibrium Monte Carlo Solver code repository Source

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• A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms DOIarXiv
• Neural Network Verification via Mixed-Integer Quadratic Optimization Source
• Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications DOIarXiv
• Stochastic Optimization Solvers Benchmark code repository Source

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• Beyond MP2 initialization for unitary coupled cluster quantum circuits DOIarXiv
• Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression arXiv
• Bayesian Optimization Priors for Efficient Variational Quantum Algorithms DOIarXiv
• Surrogate optimization of variational quantum circuits DOIarXiv

• Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model DOIarXiv

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• Beyond MP2 initialization for unitary coupled cluster quantum circuits DOIarXiv
• A circuit-generated quantum subspace algorithm for the variational quantum eigensolver DOIarXiv

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• Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection DOIarXiv
• Ising Machines' Dynamics and Regularization for Near-Optimal MIMO Detection Source
• IEEE Xplore publication on numerical models for optimization hardware Source

• Logical shadow tomography: Efficient estimation of error-mitigated observables arXiv
• Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits arXiv

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• Towards solving the Fermi-Hubbard model via tailored quantum annealers arXiv

• Two-Unitary Decomposition Algorithm and Open Quantum System Simulation DOIarXiv
• Towards solving the Fermi-Hubbard model via tailored quantum annealers arXiv

• Efficient Chromatic-Number-Based Multi-Qubit Decoherence and Crosstalk Suppression DOIarXiv
• Simulating nonlinear optical processes on a superconducting quantum device DOIarXiv

• Bounds on approximating Max $k$XOR with quantum and classical local algorithms DOIarXiv

• Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems arXiv

• Two-Unitary Decomposition Algorithm and Open Quantum System Simulation DOIarXiv

• Tailored Quantum Alternating Operator Ansätzes for Circuit Fault Diagnostics Source
• Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation arXiv

• Character randomized benchmarking for non-multiplicity-free groups with applications to subspace, leakage, and matchgate randomized benchmarking DOIarXiv

• Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond DOIarXiv
• Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems DOIarXiv

• 3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers DOI

• A Parameter Setting Heuristic for the Quantum Alternating Operator Ansatz DOIarXiv

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• Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints DOIarXiv

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• Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries arXiv
• Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry arXiv
• Simulation of adiabatic quantum computing for molecular ground states DOIarXiv

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• Integer programming techniques for minor-embedding in quantum annealers DOIarXiv

• TensorFlow Quantum: A Software Framework for Quantum Machine Learning arXiv

• Quantum algorithms with local particle number conservation: noise effects and error correction DOIarXiv

• Optimizing quantum heuristics with meta-learning DOIarXiv

• Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs DOIarXiv

• Multifractal Dynamics of the QREM arXiv

• Ferromagnetically shifting the power of pausing DOIarXiv
• Towards solving the Fermi-Hubbard model via tailored quantum annealers arXiv
• Testing a quantum annealer as a quantum thermal sampler DOIarXiv

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• A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware DOIarXiv

• Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm arXiv

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• Power of pausing: Advancing understanding of thermalization in experimental quantum annealers Source
• Ferromagnetically shifting the power of pausing DOIarXiv
• Towards solving the Fermi-Hubbard model via tailored quantum annealers arXiv
• Two-Unitary Decomposition Algorithm and Open Quantum System Simulation DOIarXiv

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• From the quantum approximate optimization algorithm to a quantum alternating operator ansatz DOIarXiv

• Inter-generational comparison of quantum annealers in solving hard scheduling problems Source

• Noise amplification at spin-glass bottlenecks of quantum annealing: a solvable model DOIarXiv