activity
20242026
most citedPredicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Verifiable quantum advantage in extremely low depth

Alexandru Gheorghiu

We give a sampling problem that is solvable by shallow quantum circuits, hard for polynomial-time classical algorithms under lattice-based assumptions, and efficiently verifiable b…

quant-ph2026

Pseudoentanglement in constant depth: How trivial states can have non-trivial entanglement structure

Alexandru Gheorghiu

We construct a family of 2D-local constant-depth quantum circuits that output states whose entanglement entropy across a specified cut cannot be estimated in quantum polynomial tim…

quant-ph2026

Quantum state isomorphism problems for groups

Alexandru Gheorghiu, Dale Jacobs, Saeed Mehraban +1

We study the computational complexity of quantum state isomorphism problems under group actions: given two quantum circuits that prepare pure or mixed states, decide whether the tw…

quant-ph2026

Improved quantum circuits for division

Priyanka Mukhopadhyay, Alexandru Gheorghiu, Hari Krovi

Arithmetic operations are an important component of many quantum algorithms. Optimizing quantum circuits for these operations therefore leads to more efficient implementations of t…

quant-ph2025

Learning depth-3 circuits via quantum agnostic boosting

Srinivasan Arunachalam, Arkopal Dutt, Alexandru Gheorghiu +1

We initiate the study of quantum agnostic learning of phase states with respect to a function class : given copies of an unk…

quant-ph2025

On the Complexity of Decoded Quantum Interferometry

Kunal Marwaha, Bill Fefferman, Alexandru Gheorghiu +1

We study the complexity of Decoded Quantum Interferometry (DQI), a quantum algorithm for approximate optimization. First, we show that the algorithm resists classical simulation st…