01
Research area
Optimization & Machine Learning
Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and autonomous reasoning problems.
Open area Research / programs / publications
Research on Theory, Design and Applications of Quantum Systems
Explore the RIACS Quantum capability map, funding sources, active and previous programs, program-related publications, and the complete publication archive in one place.
Quantum hardware record
Hardware platforms represented in applied quantum computing R&D
Our team benchmarked, or reported applied R&D results tied to multiple commercial hardware platform. We stand ready to work with anyone that wants to engage for challenging stress-tests, middleware advances, quantum information experiments, and use cases.
6 hardware platforms / 37 platform-linked publications
Capability map
Research areas
Open area 02
Research area
Quantum Simulation
Digital and analog approaches to simulate static and dynamical aspects of materials, chemistry, field theories.
Open area 03
Research area
Hardware Physics & Co-design
Research at the interface of device physics, architecture, control, error handling, algorithms.
Open area 04
Research area
HPC, Benchmarking & Software
High-performance simulation, open research software, verification, and evidence-based benchmarking across platforms.
Open area 05
Research area
Quantum Sensing
Theory, protocols, and system concepts for quantum-enhanced sensing and measurement, and its intersection with computing and quantum information transduction.
Open area Funding sources / research support
Research Sponsors
NASA 2012-2026 
DOE 2020-2026 
NSF 2015-2026 
AFRL 2018-2026 
DARPA 2020-2024 
Oxford Ionics 2025 
Pasqal 2024-2026 
Standard Chartered Bank 2021-2024 
STFC Hartree 2025 Active programs
Programs, support, and related output
active / 2020–2026
Expeditions: Coherent Ising Machines for Optimization, Machine Learning and Neuromorphic Computing
An NSF Expeditions program on coherent Ising machines and their role in optimization, machine learning, and neuromorphic computing research.
- Award
- NSF 1918549
- Funding / support
- National Science Foundation
- Reference
- NSF Award 1918549
Program publications
Latest 3 of 8Staff involved
Davide VenturelliFilip MaciejewskiAta Akbari AsanjanAaron LottDavid Bernal NeiraMasoud Mohseni
Setting angles in quantum approximate optimization at utility-scale
arXiv preprint arXiv:2606.05311
arXiv Academy
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
arXiv preprint arXiv:2604.17109
arXiv Academy
active / 2025–2028
Functional Exploitation of Noise in Utility-Scale Quantum Optimization
An AFRL-funded project exploring how noise and nonideal dynamics can be characterized, modeled, and potentially exploited for utility-scale quantum optimization.
- Award
- AFRL FA875025CB040
- Funding / support
- Air Force Research Laboratory
- Reference
- QIS BAA FA8750-23-S-7001
Program publications
Latest 3 of 4Staff involved
Davide VenturelliFilip MaciejewskiStuart HadfieldJacob Biamonte
Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting
arXiv preprint arXiv:2607.09368
Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
arXiv preprint arXiv:2606.28234
active / 2025–2027
STTR Fast-Track: Combinatorial Reasoning
A funded effort on combinatorial reasoning methods for optimization-relevant decision pipelines and emerging computing workflows.
- Award
- NSF 2528318
- Funding / support
- National Science Foundation
- Reference
- NSF Award 2528318
Program publications
Latest 1 of 1Staff involved
David BellDavide VenturelliAta Akbari AsanjanAaron LottMasoud Mohseni
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
arXiv preprint arXiv:2407.00071
active / 2025–2030
Superconducting Quantum Materials and Systems Center (SQMS 2.0)
A DOE SQMS collaboration through Fermilab spanning superconducting quantum systems, materials, algorithms, and co-design.
- Award
- DOE SQMS (via Fermilab)
- Funding / support
- DOE SQMS / Fermi National Laboratory
- Reference
- SQMS Center
Program publications
Latest 3 of 24Staff involved
Davide VenturelliStuart HadfieldFilip MaciejewskiFilip WudarskiZhihui WangDavid Bernal NeiraErik GustafsonJames SudJeffrey MarshallM. Sohaib AlamNishchay SuriNorman TubmanTad HoggZoe Gonzalez Izquierdo
Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
arXiv preprint arXiv:2606.28234
Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)
arXiv preprint arXiv:2511.17437
Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems
arXiv preprint arXiv:2511.21983
active / 2025–2027
Thermodynamical Effects for Quantum Approximate Optimization
A DOE-supported research project studying thermodynamic mechanisms and performance-relevant effects in Quantum Approximate Optimization.
- Award
- DOE DE-SC0026126
- Funding / support
- U.S. Department of Energy
- Reference
- DE-FOA-0003432 solicitation
Program publications
Latest 3 of 3Staff involved
Davide VenturelliStuart HadfieldFilip MaciejewskiAntonio SanniaJacob Biamonte
Selected highlight
Temporal information processing on a 4,500-qubit quantum annealer
arXiv preprint arXiv:2609.19308
Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
arXiv preprint arXiv:2606.28234
Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
Quantum, 9, 1906
active / 2024–present
Impact AI
A NASA Marshall ODSI initiative applying advanced AI and quantum-kernel methods to scientific data, structured forecasting, and mission-oriented research.
- Award
- NASA IMPACT AI / ODSI
- Funding / support
- NASA Marshall Space Flight Center / IMPACT AI
- Reference
- NASA Impact AI
Program publications
Latest 1 of 1Staff involved
Zhihui WangAta Akbari Asanjan
Selected highlight
Structured Quantum Kernels for Chaotic Forecasting
arXiv preprint arXiv:2609.13360
active / 2012–present
NASA QuAIL Contracted Work
NASA QuAIL and USRA contracted research supporting quantum algorithms, benchmarking, simulation, optimization, and mission-oriented advanced computing.
- Award
- NASA / QuAIL contracted work
- Funding / support
- NASA Quantum Artificial Intelligence Laboratory / NASA Ames Research Center / USRA
- Reference
- NASA QuAIL
Program publications
Latest 3 of 112Staff involved
Davide VenturelliFilip MaciejewskiFilip WudarskiStuart HadfieldZhihui WangAta Akbari AsanjanAaron LottAlejandro Perdomo-OrtizDavid Bernal NeiraErik GustafsonEugeniu PlamadealaJacob BiamonteJames SudJeffrey MarshallKostyantyn KechedzhiKyle BoothM. Sohaib AlamMark DykmanMasoud MohseniMax WilsonNishchay SuriNorman TubmanRachel StromswoldSergey KnyshTad HoggZoe Gonzalez Izquierdo
Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire
arXiv preprint arXiv:2606.12310
Iterative warm-start optimization with quantum imaginary time evolution
arXiv preprint arXiv:2604.26047
active / 2023–2028
NC A&T QISE Research Workforce Programs
An NSF-supported workforce and research program advancing QISE participation, training, and project-based research engagement.
- Award
- NSF 2329097
- Funding / support
- National Science Foundation
- Reference
- NSF Award 2329097
Program publications
Latest 1 of 1Staff involved
Davide VenturelliFilip MaciejewskiStuart Hadfield
Warm-Starting MaxCut Relaxation via Low-Depth Quantum Approximate Optimization Algorithm
2026 IEEE International Conference on Quantum Computing and Engineering (QCE)
active / 2025-2026
Rydberg Quantum Reservoir Computing
Collaborate with Pasqal on elucidating and exploiting the power of neutral atom analog processors as a quantum reservoir computer
- Funding / support
- RIACS Quantum
Program publications
Latest 1 of 1Staff involved
Davide VenturelliFilip WudarskiAntonio Sannia
From quantum feature maps to quantum reservoir computing: perspectives and applications
arXiv preprint arXiv:2510.01797
Scholarly output / complete record
All publications over the years
Selected highlight
Structured Quantum Kernels for Chaotic Forecasting
arXiv preprint arXiv:2609.13360
Selected highlight
Temporal information processing on a 4,500-qubit quantum annealer
arXiv preprint arXiv:2609.19308
Warm-Starting MaxCut Relaxation via Low-Depth Quantum Approximate Optimization Algorithm
2026 IEEE International Conference on Quantum Computing and Engineering (QCE)
Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting
arXiv preprint arXiv:2607.09368
Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
arXiv preprint arXiv:2606.28234
Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire
arXiv preprint arXiv:2606.12310
Setting angles in quantum approximate optimization at utility-scale
arXiv preprint arXiv:2606.05311
arXiv Academy
Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
arXiv preprint arXiv:2605.07884
arXiv Academy
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
arXiv preprint arXiv:2604.17109
arXiv Academy
Iterative warm-start optimization with quantum imaginary time evolution
arXiv preprint arXiv:2604.26047
Preparing Fermions via Classical Sampling and Linear Combinations of Unitaries
arXiv preprint arXiv:2603.22422
Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
arXiv preprint arXiv:2601.00172
Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)
arXiv preprint arXiv:2511.17437
Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems
arXiv preprint arXiv:2511.21983
From quantum feature maps to quantum reservoir computing: perspectives and applications
arXiv preprint arXiv:2510.01797
Quantum DPLL and Generalized Constraints in Iterative Quantum Algorithms
arXiv preprint arXiv:2509.02689
The USRA Feynman Quantum Academy: If You Give a Student a Quantum Internship
arXiv preprint arXiv:2505.04641
arXiv Academy
Kernpiler: Compiler optimization for quantum hamiltonian simulation with partial trotterization
arXiv preprint arXiv:2504.07214
How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities
Publication venue not recorded
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
arXiv preprint arXiv:2407.00071
Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation
arXiv preprint arXiv:2407.01975
Optimized quantum simulation algorithms for scalar quantum field theories
arXiv preprint arXiv:2407.13819
Applications and resource estimates for open system simulation on a quantum computer
arXiv preprint arXiv:2406.06281
Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning
arXiv preprint arXiv:2406.08554
arXiv Academy
Quantum Resources Required for Binding Affinity Calculations of Amyloid beta
arXiv preprint arXiv:2406.18744
Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(36x3)
arXiv preprint arXiv:2405.05973
Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem
arXiv preprint arXiv:2404.10748
arXiv Academy
Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
Quantum, 9, 1906
Surrogate optimization of variational quantum circuits
Proceedings of the National Academy of Sciences, 122(36), e2408530122
Dynamical Logical Qubits in the Bacon-Shor Code
Physical Review A, 112(2), 022436
Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits
arXiv preprint arXiv:2403.07836
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
Quantum Machine Intelligence, 7(2), 86
Hybrid quantum-classical reservoir computing for simulating chaotic systems
arXiv preprint arXiv:2311.14105
arXiv Hardware: OQC
On Commutative Penalty Functions in Parent-Hamiltonian Constructions
arXiv preprint arXiv:2311.17249
Pre-optimizing variational quantum eigensolvers with tensor networks
arXiv preprint arXiv:2310.12965
arXiv Academy
Iterative Quantum Algorithms for Maximum Independent Set: A Tale of Low-Depth Quantum Algorithms
arXiv preprint arXiv:2309.13110
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
arXiv preprint arXiv:2308.12423
Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing
arXiv preprint arXiv:2307.06542
arXiv Academy
Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries
arXiv preprint arXiv:2305.04455
arXiv Academy
Simulating lattice gauge theory on a quantum computer
arXiv preprint arXiv:2305.02361
arXiv Hardware: IBM
Quantum Enhanced Greedy Solver for Optimization Problems
arXiv preprint arXiv:2303.05509
arXiv Hardware: Rigetti
Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression
arXiv preprint arXiv:2211.16522
arXiv Academy
Towards solving the Fermi-Hubbard model via tailored quantum annealers
arXiv preprint arXiv:2207.14374
arXiv Academy
Logical shadow tomography: Efficient estimation of error-mitigated observables
Publication venue not recorded
arXiv Academy
Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry
arXiv preprint arXiv:2108.13056
arXiv Academy
Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo
arXiv preprint arXiv:2103.12570
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
arXiv preprint arXiv:2003.02989
arXiv Academy
Quantum annealing implementation of job-shop scheduling
arXiv preprint arXiv:1506.08479
arXiv Hardware: D-Wave