activity
20192026
most citedSynergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage

65 citations · 188 across the 17 of their papers we have counts for

collaborators

18 papers

q-fin.CP2026

Global Multi-Maturity SPX-VIX Calibration Beyond Markovian Stitching

Atithi Acharya, Yue Sun, Brandon Augustino +3

We develop a global martingale optimal transport framework for joint S&P 500 (SPX)-VIX smile calibration across multiple maturities, without the conditional independence that Marko…

quant-ph2026

Faster Algorithms for Multimarginal Optimal Transport

Brandon Augustino, Yue Sun, Atithi Acharya +4

We study constructive discrete multimarginal optimal transport (MOT) among distributions on points, where the cost tensor has entries. For additive accuracy $\v…

quant-ph2026

Quantum Speedups for Group Relaxations of Integer Linear Programs

Brandon Augustino, Dylan Herman, Guneykan Ozgul +5

Integer Linear Programs (ILPs) are a flexible and ubiquitous model for discrete optimization problems. Solving ILPs is \textsf{NP-Hard} yet of great practical importance. Super-qua…

quant-ph2025

Reading Qubits with Sequential Weak Measurements: Limits of Information Extraction

Cesar Lema, Aleix Bou-Comas, Atithi Acharya +2

Quantum information processing and computation requires high accuracy qubit configuration readout. In many practical schemes, the initial qubit configuration has to be inferred fro…

quant-ph2025★ 33 cited

Certified randomness using a trapped-ion quantum processor

Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula +29

While quantum computers have the potential to perform a wide range of practically important tasks beyond the capabilities of classical computers, realizing this potential remains a…

quant-ph2025

qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem

Martin J. A. Schuetz, Romina Yalovetzky, Ruben S. Andrist +8

We propose and implement a quantum-informed reduction algorithm for the maximum independent set problem that integrates classical kernelization techniques with information extracte…