16 citations · 31 across the 3 of their papers we have counts for
7 papers
Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers
Matteo G. Pozzi, Steven J. Herbert, Akash Sengupta +1
"Qubit routing" refers to the task of modifying quantum circuits so that they satisfy the connectivity constraints of a target quantum computer. This involves inserting SWAP gates…
Efficient Qubit Routing for a Globally Connected Trapped Ion Quantum Computer
Mark Webber, Steven Herbert, Sebastian Weidt +1
The cost of enabling connectivity in Noisy-Intermediate-Scale-Quantum devices is an important factor in determining computational power. We have created a qubit routing algorithm w…
Increasing the classical data throughput in quantum networks by combining quantum linear network coding with superdense coding
Steven Herbert
This paper shows how network coding and superdense coding can be combined to increase the classical data throughput by a factor (for arbitrarily small ) compared to the…
Spectral sparsification of matrix inputs as a preprocessing step for quantum algorithms
Steven Herbert, Sathyawageeswar Subramanian
We study the potential utility of classical techniques of spectral sparsification of graphs as a preprocessing step for digital quantum algorithms, in particular, for Hamiltonian s…
Quantum linear network coding for entanglement distribution in restricted architectures
Niel de Beaudrap, Steven Herbert
In this paper we propose a technique for distributing entanglement in architectures in which interactions between pairs of qubits are constrained to a fixed network . This allow…
Using Reinforcement Learning to find Efficient Qubit Routing Policies for Deployment in Near-term Quantum Computers
Steven Herbert, Akash Sengupta
This paper addresses the problem of qubit routing in first-generation and other near-term quantum computers. In particular, it is asserted that the qubit routing problem can be for…