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quant-ph2026

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems

Igor Gaidai, Rick Mukherjee

Alternating Current Optimal Power Flow Unit Commitment (AC-OPF-UC) is a difficult mixed-integer nonlinear optimization problem that combines binary generator commitment decisions w…

quant-ph2026

Resource-Efficient Quantum Optimization via Higher-Order Encoding

Frederik Koch, Shahram Panahiyan, Rick Mukherjee +2

Quantum approaches to combinatorial optimization problems (COPs) are often limited by the resource demands of Quadratic Unconstrained Binary Optimization (QUBO) encodings, which en…

quant-ph2026

Adaptive Tensor Network Sampling for Quantum Optimal Control

Zeki Zeybek, Rick Mukherjee, Peter Schmelcher

Quantum optimal control (QOC) provides a systematic framework for achieving high-fidelity operations in quantum systems and plays a central role in tasks such as gate synthesis, st…

quant-ph2026

Quantum simulation of Motzkin spin chain with Rydberg atoms

Kaustav Mukherjee, Hatem Barghathi, Adrian Del Maestro +1

Motzkin spin chain is a well-known mathematical model with connections to symmetry-protected topological phases, such as the Haldane phase, as well as to concepts in the AdS/CFT co…

quant-ph2026

Reconfigurable Four-Photon Interference among Three Nodes on a Field Deployed Metropolitan Fiber Network

Kazi Reaz, Md Mehdi Hassan, Jacob E. Humberd +7

Advanced quantum networking protocols beyond bi-photon, point-to-point links rely critically on the ability to perform multi-photon interference across multiple nodes under realist…

quant-ph2026

High-fidelity non-adiabatic dark state gates for neutral atoms

Nader Mostaan, Kapil Goswami, Peter Schmelcher +1

Rydberg blockade gates are the most experimentally mature entangling operations in neutral-atom quantum processors, combining fast gate times with simple control, but their perform…