activity
20182025
most citedReducing the Depth of Linear Reversible Quantum Circuits

35 citations · 63 across the 6 of their papers we have counts for

collaborators
Showing quant-phShow all

9 papers · 1 filter

quant-ph2026

Graphical and algebraic methods for Boolean factoring

Simon Martiel, Priyanka Mukhopadhyay

The problem of factoring Boolean polynomials has significant applications in both classical and quantum computing technology. In this paper we have developed novel algorithms for f…

quant-ph2025

Big cats: entanglement in 120 qubits and beyond

Ali Javadi-Abhari, Simon Martiel, Alireza Seif +2

Entanglement is the quintessential quantum phenomenon and a key enabler of quantum algorithms. The ability to faithfully entangle many distinct particles is often used as a benchma…

quant-ph20253 cited

Low-overhead error detection with spacetime codes

Simon Martiel, Ali Javadi-Abhari

We introduce a low-overhead approach for detecting errors in arbitrary Clifford circuits on arbitrary qubit connectivities. Our method is based on the framework of spacetime codes,…

quant-ph2025

Pauli Network Circuit Synthesis with Reinforcement Learning

Ayushi Dubal, David Kremer, Simon Martiel +3

We introduce a Reinforcement Learning (RL)-based method for re-synthesis of quantum circuits containing arbitrary Pauli rotations alongside Clifford operations. By collapsing each…

quant-ph2022

On constant-time quantum annealing and guaranteed approximations for graph optimization problems

Arthur Braida, Simon Martiel, Ioan Todinca

Quantum Annealing (QA) is a computational framework where a quantum system's continuous evolution is used to find the global minimum of an objective function over an unstructured s…

quant-ph202216 cited

Gaussian Elimination versus Greedy Methods for the Synthesis of Linear Reversible Circuits

Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron +2

Linear reversible circuits represent a subclass of reversible circuits with many applications in quantum computing. These circuits can be efficiently simulated by classical compute…