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quant-ph2020

Qubit-efficient entanglement spectroscopy using qubit resets

Justin Yirka, Yigit Subasi

One strategy to fit larger problems on NISQ devices is to exploit a tradeoff between circuit width and circuit depth. Unfortunately, this tradeoff still limits the size of tractabl…

quant-ph2020

Complexity of quantum state verification in the quantum linear systems problem

Rolando D. Somma, Yigit Subasi

We analyze the complexity of quantum state verification in the context of solving systems of linear equations of the form . We show that any quantum operation th…

quant-ph2019

Computing partition functions in the one clean qubit model

Anirban N. Chowdhury, Rolando D. Somma, Yigit Subasi

We present a method to approximate partition functions of quantum systems using mixed-state quantum computation. For positive semi-definite Hamiltonians, our method has expected ru…

quant-ph2018

Entanglement spectroscopy with a depth-two quantum circuit

Yigit Subasi, Lukasz Cincio, Patrick J. Coles

Noisy intermediate-scale quantum (NISQ) computers have gate errors and decoherence, limiting the depth of circuits that can be implemented on them. A strategy for NISQ algorithms i…

quant-ph2018

Quantum algorithms for systems of linear equations inspired by adiabatic quantum computing

Yigit Subasi, Rolando D. Somma, Davide Orsucci

We present two quantum algorithms based on evolution randomization, a simple variant of adiabatic quantum computing, to prepare a quantum state that is proportion…

quant-ph2018

Improved implementation of reflection operators

Anirban Narayan Chowdhury, Yigit Subasi, Rolando D. Somma

Quantum algorithms for diverse problems, including search and optimization problems, require the implementation of a reflection operator over a target state. Commonly, such reflect…