no code implementations • 24 Aug 2020 • Sheng-Hsuan Lin, Rohit Dilip, Andrew G. Green, Adam Smith, Frank Pollmann
The current generation of noisy intermediate scale quantum computers introduces new opportunities to study quantum many-body systems.
Quantum Physics Mesoscale and Nanoscale Physics Strongly Correlated Electrons
no code implementations • 11 Oct 2019 • Adam Smith, Bernhard Jobst, Andrew G. Green, Frank Pollmann
The simulation that we perform is easily scalable and is a practical demonstration of the utility of near-term quantum computers for the study of quantum phases of matter and their transitions.
Strongly Correlated Electrons Mesoscale and Nanoscale Physics Quantum Physics
no code implementations • 10 Apr 2018 • Edward Grant, Marcello Benedetti, Shuxiang Cao, Andrew Hallam, Joshua Lockhart, Vid Stojevic, Andrew G. Green, Simone Severini
Quantum circuits with hierarchical structure have been used to perform binary classification of classical data encoded in a quantum state.
Quantum Physics
no code implementations • ICLR 2018 • Andrew Hallam, Edward Grant, Vid Stojevic, Simone Severini, Andrew G. Green
This paper demonstrates a method for tensorizing neural networks based upon an efficient way of approximating scale invariant quantum states, the Multi-scale Entanglement Renormalization Ansatz (MERA).
