7 papers
Quest for quantum advantage: Monte Carlo wave-function simulations of the Coherent Ising Machine
Manushan Thenabadu, Run Yan Teh, Jia Wang +3
The Coherent Ising Machine (CIM) is a quantum network of optical parametric oscillators (OPOs) intended to find ground states of the Ising model. This is an NP-hard problem, relate…
Non-periodic Fourier propagation algorithms for partial differential equations
Channa Hatharasinghe, Run Yan Teh, Jesse van Rhijn +2
Spectral methods for partial differential equations (PDEs) with non-periodic boundary conditions arising in computational physics often use polynomial expansions on non-uniform gri…
Physical currents for stochastic Einstein-Podolsky-Rosen quantum trajectories
R. Y. Teh, M. Thenabadu, P. D. Drummond +1
Theories of the measured homodyne current generated by a stochastic Schrödinger equation (SSE) can be tested in a simulation of the Einstein-Podolsky-Rosen (EPR) correlations for…
Q-based, objective-field model for wave-function collapse: Analyzing measurement on a macroscopic superposition state
Channa Hatharasinghe, Ashleigh Willis, Run Yan Teh +2
The measurement problem remains unaddressed in modern physics, with an array of proposed solutions but as of yet no agreed resolution. In this paper, we examine measurement using t…
The Quantum and Stochastic Toolbox: xSPDE4.2
Peter D. Drummond, Run Yan Teh, Manushan Thenabadu +5
This is the fourth major release of the xSPDE toolbox, which solves stochastic partial and ordinary differential equations, with applications in biology, chemistry, engineering, me…
Hidden causal loops, macroscopic realism and Einstein-Podolsky-Rosen-Bell nonlocality: forward-backward stochastic simulations
M. D. Reid, P. D. Drummond
We analyze quantum measurement and entanglement by solving the dynamics of stochastic amplitudes that propagate both forward and backward in time. The model allows simulation of Ei…