Experimental Quantum-Enhanced Memory Use In Modelling Stochastic Processes By Prof. Geoff Pryde

Experimental Quantum-Enhanced Memory Use in Modelling Stochastic Processes by Prof. Geoff Pryde

Centre for Quantum Technologies

Q-FARM Seminar (Sept 16, 2020): Geoff Pryde (Griffith University)

Q-FARM Stanford

Professor Geoff Pryde explains Griffith University Big Bell Test experiment

Professor Geoff Pryde explains the Big Bell Test

QIP 2021 Poster "Quantum-enhanced analysis of discrete stochastic processes"

Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes

Stochastic Optimization Introduction Part 1

FrontlineSolvers

MFEM Workshop 2022 | Stochastic Fractional PDEs: Random Field Generation & Topology Optimization

Inside Livermore Lab

Unbounded Memory Advantage in Stochastic Simulation by Dr. Andrew Garner

Centre for Quantum Technologies

Q2B24 Tokyo | A Path to Utility-Scale Photonic Quantum Computing | Geoff Pryde

NORA TISCHLER: Provable accuracy advantage in machine- learned quantum models

John Morton: "A quantum memory lasting seconds in silicon"

OxfordQuantumVideo

stochastic processes 1 Einstein diffusion

Quantum Techniques for Stochastic Mechanics - Part 1 of 4

Institute for Quantum Computing

IMPACT Event: D-Day for Quantum Physics - The BIG BELL TEST

Jon Dowling Memorial Conference, Sydney -- Geoff Pryde

Scalable time reversal of Raman echo quantum memory and quantum waveform conversion of light pulse

NewJournalofPhysics

Modeling stock market data using a stochastic model

Ghana Numerical Analysis

Stochastic models by Nick Barton

International Centre for Theoretical Sciences