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19922026
most citedSciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

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quant-ph2026

ChainForge: Characterizing Embedding as the Bottleneck in Quantum Annealer Workloads

Kanishka Jayathilake, Cordelia Brumley, Tanner Smith +1

Quantum Annealers (QAs) are among the first commercially scaled quantum computing systems designed for large-scale optimization. Unlike digital systems that execute sequences of co…

quant-ph2026

Controlled Parity of Cooper Pair Tunneling in a Hybrid Superconducting Qubit

David Feldstein-Bofill, Leo Uhre Jakobsen, Ksenia Shagalov +9

Superconducting quantum circuits derive their nonlinearity from the Josephson energy-phase relation. Besides the fundamental term, this relation can also contain higher Fou…

quant-ph2025

Quantum State Preparation with Resolution Refinement

Scott Bogner, Heiko Hergert, Morten Hjorth-Jensen +3

We introduce a method called resolution refinement that allows one to bootstrap eigenstate preparation on a quantum computer. We first prepare an eigenstate of a low-resolution Ham…

quant-ph2025★ 10 cited

Coherence-limited digital control of a superconducting qubit using a Josephson pulse generator at 3 K

M. A. Castellanos-Beltran, A. J. Sirois, L. Howe +4

Compared to traditional semiconductor control electronics (TSCE) located at room temperature, cryogenic single flux quantum (SFQ) electronics can provide qubit measurement and cont…

quant-ph2025

Hybrid qubit-oscillator module from motional states of two interacting atoms

Jaeyong Hwang, Tianrui Xu, Sean R. Muleady +5

We propose a qubit-oscillator platform based on the motional states of two interacting atoms in an optical tweezer. By stroboscopically modulating an engineered trap with tunable a…

quant-ph2025

Hierarchical Fusion Method for Scalable Quantum Eigenstate Preparation

Matthew Patkowski, Onat Ayyildiz, Matjaž Kebrič +2

Robust and efficient eigenstate preparation is a central challenge in quantum simulation. The Rodeo Algorithm (RA) offers exponential convergence to a target eigenstate but suffers…