Search Results for author: Pranav Gokhale

Found 9 papers, 4 papers with code

Deep Learning for Low-Latency, Quantum-Ready RF Sensing

no code implementations27 Apr 2024 Pranav Gokhale, Caitlin Carnahan, William Clark, Frederic T. Chong

Recent work has shown the promise of applying deep learning to enhance software processing of radio frequency (RF) signals.

Training Quantum Boltzmann Machines with Coresets

no code implementations26 Jul 2023 Joshua Viszlai, Teague Tomesh, Pranav Gokhale, Eric Anschuetz, Frederic T. Chong

Recent work has proposed and explored using coreset techniques for quantum algorithms that operate on classical data sets to accelerate the applicability of these algorithms on near-term quantum devices.

Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation

1 code implementation21 Aug 2020 Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong

One of the key challenges in current Noisy Intermediate-Scale Quantum (NISQ) computers is to control a quantum system with high-fidelity quantum gates.

Quantum Physics

Coreset Clustering on Small Quantum Computers

1 code implementation30 Apr 2020 Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong

However, for many natural data sets and algorithms, the overhead required to load the data set in superposition can erase any potential quantum speedup over classical algorithms.

Clustering

Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse

2 code implementations23 Apr 2020 Pranav Gokhale, Ali Javadi-Abhari, Nathan Earnest, Yunong Shi, Frederic T. Chong

Quantum computers are traditionally operated by programmers at the granularity of a gate-based instruction set.

Quantum Physics Systems and Control Systems and Control

Term Grouping and Travelling Salesperson for Digital Quantum Simulation

no code implementations16 Jan 2020 Kaiwen Gui, Teague Tomesh, Pranav Gokhale, Yunong Shi, Frederic T. Chong, Margaret Martonosi, Martin Suchara

Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing.

Quantum Physics

Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers

1 code implementation4 Feb 2019 Yunong Shi, Nelson Leung, Pranav Gokhale, Zane Rossi, David I. Schuster, Henry Hoffman, Fred T. Chong

To address this inefficiency, we propose a universal quantum compilation methodology that aggregates multiple logical operations into larger units that manipulate up to 10 qubits at a time.

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