activity
20182025
most citedSpectral sparsification of matrix inputs as a preprocessing step for quantum algorithms

2 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph20241 cited

Quantum Channel Testing in Average-Case Distance

Gregory Rosenthal, Hugo Aaronson, Sathyawageeswar Subramanian +2

We study the complexity of testing properties of quantum channels. First, we show that testing identity to any channel $\mathcal N: \mathbb C^{d_{\mathrm{in}} \times d_{\mathrm{in}…

quant-ph2022

Quantum Worst-Case to Average-Case Reductions for All Linear Problems

Vahid R. Asadi, Alexander Golovnev, Tom Gur +2

We study the problem of designing worst-case to average-case reductions for quantum algorithms. For all linear problems, we provide an explicit and efficient transformation of quan…

quant-ph20222 cited

Constant-time one-shot testing of large-scale graph states

Hayata Yamasaki, Sathyawageeswar Subramanian

Fault-tolerant measurement-based quantum computation (MBQC) with recent progress on quantum technologies leads to a promising scalable platform for realizing quantum computation, c…

quant-ph20192 cited

Spectral sparsification of matrix inputs as a preprocessing step for quantum algorithms

Steven Herbert, Sathyawageeswar Subramanian

We study the potential utility of classical techniques of spectral sparsification of graphs as a preprocessing step for digital quantum algorithms, in particular, for Hamiltonian s…

quant-ph2018

Implementing smooth functions of a Hermitian matrix on a quantum computer

Sathyawageeswar Subramanian, Steve Brierley, Richard Jozsa

We review existing methods for implementing smooth functions f(A) of a sparse Hermitian matrix A on a quantum computer, and analyse a further combination of these techniques which…