activity
20162026
most citedSynthesizing efficient circuits for Hamiltonian simulation

19 citations · 25 across the 4 of their papers we have counts for

collaborators

15 papers

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-ph2023★ 5 cited

Quantum Simulation of the First-Quantized Pauli-Fierz Hamiltonian

Priyanka Mukhopadhyay, Torin F. Stetina, Nathan Wiebe

We provide an explicit recursive divide and conquer approach for simulating quantum dynamics and derive a discrete first quantized non-relativistic QED Hamiltonian based on the man…

quant-ph2022★ 19 cited

Synthesizing efficient circuits for Hamiltonian simulation

Priyanka Mukhopadhyay, Nathan Wiebe, Hong Tao Zhang

We provide a new approach for compiling quantum simulation circuits that appear in Trotter, qDRIFT and multi-product formulas to Clifford and non-Clifford operations that can reduc…

quant-ph2021

Adaptive estimation of quantum observables

Ariel Shlosberg, Andrew J. Jena, Priyanka Mukhopadhyay +3

The accurate estimation of quantum observables is a critical task in science. With progress on the hardware, measuring a quantum system will become increasingly demanding, particul…

quant-ph2021

T-count and T-depth of any multi-qubit unitary

Vlad Gheorghiu, Michele Mosca, Priyanka Mukhopadhyay

While implementing a quantum algorithm it is crucial to reduce the quantum resources, in order to obtain the desired computational advantage. For most fault-tolerant quantum error-…

quant-ph2021

Composability of global phase invariant distance and its application to approximation error management

Priyanka Mukhopadhyay

Many quantum algorithms can be written as a composition of unitaries, some of which can be exactly synthesized by a universal fault-tolerant gate set, while others can be approxima…