Search Results for author: Moinuddin Qureshi

Found 5 papers, 1 papers with code

Élivágar: Efficient Quantum Circuit Search for Classification

no code implementations17 Jan 2024 Sashwat Anagolum, Narges Alavisamani, Poulami Das, Moinuddin Qureshi, Eric Kessler, Yunong Shi

Although recent Quantum Circuit Search (QCS) methods attempt to search for performant QML circuits that are also robust to hardware noise, they directly adopt designs from classical Neural Architecture Search (NAS) that are misaligned with the unique constraints of quantum hardware, resulting in high search overheads and severe performance bottlenecks.

Classification Neural Architecture Search +1

Skipper: Improving the Reach and Fidelity of Quantum Annealers by Skipping Long Chains

no code implementations1 Dec 2023 Ramin Ayanzadeh, Moinuddin Qureshi

We propose Skipper, a software technique that enhances the capacity and fidelity of QAs by skipping dominant chains and substituting their program qubit with two readout results.

Avg

Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers

no code implementations22 Nov 2023 Ramin Ayanzadeh, Ahmad Mousavi, Narges Alavisamani, Moinuddin Qureshi

As quantum computers are expensive and hard to maintain, the typical model for performing quantum computation is to send the circuit to a quantum cloud provider.

Privacy Preserving

FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes

no code implementations31 Oct 2022 Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, Moinuddin Qureshi

In QAOA, the problem graph is translated into a quantum circuit such that every edge corresponds to two 2-qubit CNOT operations in each layer of the circuit.

Cannot find the paper you are looking for? You can Submit a new open access paper.