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20052026
most citedBandgap modulation of narrow-gap carbon nanotubes in a transverse electric field

23 citations · 25 across the 12 of their papers we have counts for

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Showing 2026 · quant-phShow all

7 papers · 2 filters

quant-ph2026

Quantum circuit knitting using a weak-coupling approximation

John P. T. Stenger, Daniel Gunlycke, Nikos Chrisochoides

We present a method for performing distributed quantum computing with controlled approximations for circuits that are weakly coupled via a single qubit. Exact distributed quantum c…

quant-ph2026

Quantum Data Loading for Carleman Linearized Systems: Application to the Lattice-Boltzmann Equation

Reuben Demirdjian, Thomas Hogancamp, Abeynaya Gnanasekaran +2

Nonlinear ordinary and partial differential equations are ubiquitous in science and engineering, yet finding their solutions is often computationally intractable for classical hard…

quant-ph2026

Probability distribution analysis of the cascaded variational quantum eigensolver

Yi-Hua Lai, John P. T. Stenger, Gloria Bazargan +2

The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the con…

quant-ph2026

Ground-state energies of Ising models calculated using the samples from a quantum computer that simulates short-time evolution

John P. T. Stenger, C. Stephen Hellberg, Daniel Gunlycke

We find the ground-state energy of the Ising model using the Cascaded Variational Quantum Eigensolver (CVQE) algorithm with the Guided-Sampling Ansatz (GSA) using up to 63 qubits o…

quant-ph2026

Auto-regressive Neural Quantum State Sampling for Selected Configuration Interaction

Shane Thompson, Daniel Gunlycke

Accurate ground-state energy calculations remain a central challenge in quantum chemistry due to the exponential scaling of the many-body Hilbert space. Variational Monte Carlo and…

quant-ph2026

Toward Quantum-Optimized Flow Scheduling in Multi-Beam Digital Satellites

Qiben Yan, John P. T. Stenger, Daniel Gunlycke

Data flow scheduling for high-throughput multibeam satellites is a challenging NP-hard combinatorial optimization problem. As the problem scales, traditional methods, such as Mixed…

quant-ph2026

A Linear Combination of Unitaries Decomposition for the Laplace Operator

Thomas Hogancamp, Reuben Demirdjian, Daniel Gunlycke

We provide novel linear combination of unitaries decompositions for a class of discrete elliptic differential operators. Specifically, Poisson problems augmented with periodic, Dir…