activity
20162023
most citedUnsupervised Machine Learning on a Hybrid Quantum Computer

228 citations · 427 across the 15 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

quant-ph2022★ 4 cited

Hardware optimized parity check gates for superconducting surface codes

Matthew J. Reagor, Thomas C. Bohdanowicz, David Rodriguez Perez +2

Error correcting codes use multi-qubit measurements to realize fault-tolerant quantum logic steps. In fact, the resources needed to scale-up fault-tolerant quantum computing hardwa…

quant-ph2022★ 18 cited

End-to-end resource analysis for quantum interior point methods and portfolio optimization

Alexander M. Dalzell, B. David Clader, Grant Salton +8

We study quantum interior point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We provide a complete quant…

quant-ph2022★ 2 cited

A Q# Implementation of a Quantum Lookup Table for Quantum Arithmetic Functions

Rajiv Krishnakumar, Mathias Soeken, Martin Roetteler +1

In this paper, we present Q# implementations for arbitrary single-variabled fixed-point arithmetic operations for a gate-based quantum computer based on lookup tables (LUTs). In ge…

quant-ph2022★ 2 cited

Automated quantum error mitigation based on probabilistic error reduction

Benjamin McDonough, Andrea Mari, Nathan Shammah +4

Current quantum computers suffer from a level of noise that prohibits extracting useful results directly from longer computations. The figure of merit in many near-term quantum alg…

quant-ph2022★ 22 cited

Testing platform-independent quantum error mitigation on noisy quantum computers

Vincent Russo, Andrea Mari, Nathan Shammah +2

We apply quantum error mitigation techniques to a variety of benchmark problems and quantum computers to evaluate the performance of quantum error mitigation in practice. To do so,…

quant-ph2022★ 36 cited

Quantum Resources Required to Block-Encode a Matrix of Classical Data

B. David Clader, Alexander M. Dalzell, Nikitas Stamatopoulos +3

We provide modular circuit-level implementations and resource estimates for several methods of block-encoding a dense matrix of classical data to precision ; the min…