Quantum Computing X Quantum Chemistry online workshop

24-25 September 2020

About the workshop

The workshop aims to bring together researchers from the computational chemistry and condensed matter physics fields interested in the simulation of molecules and materials on quantum computers. Topics to be discussed include quantum algorithms for simulations on NISQ machines and fault-tolerant quantum computers, challenges in the use of this technology for simulations in the quantum chemistry and materials science spaces, applications beyond the calculation of ground state energies...

The scope of the workshop includes, but is not limited to

• Quantum chemistry algorithms for fault-tolerant quantum computers
• Hybrid quantum-classical algorithms for chemistry simulations
• Quantum simulation algorithms for NISQ hardware
• Ansatz design for variational quantum algorithms
• Calculation of excited states
• Fermion to qubit encoding schemes
• Noise mitigation methods for quantum chemistry simulations
• Calculation of properties from correlated wavefunctions on quantum computers
• Quantum algorithms for the simulation of condensed matter systems

More information can be found at the workshop’s website: https://quantumweek2020.cambridgequantum.com/qcxqc.html

Call for Abstracts

Authors are invited to submit an abstract or a paper, with no restrictions on the format. In case of a positive evaluation, submissions will be accepted to be part of the workshop program as oral or poster presentations. All abstracts and papers are distributed only among the participants. Please submit your abstracts through EasyChair: https://easychair.org/conferences/?conf=qcxqc2020

Registration

Registration to this online workshop is free, and will be handled through via Quantum Week of Fun (https://quantumweek2020.cambridgequantum.com/index.html#reg)

Organisers

Programme Committee

• David Muñoz Ramo, Cambridge Quantum Computing
• Dieter Jaksch, University of Oxford
• Ryan Babbush, Google Research
• Bert de Jong, Lawrence Berkeley National Laboratory
• Alex Thom, University of Cambridge