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Quantum Computing

Enabling quantum computing
for materials discovery.

Our team of theoreticians, quantum chemists, computer scientists and software engineers are building powerful quantum and quantum-inspired software to solve the most complex problems in materials science and chemistry.

Quantum computing for materials discovery

Quantum computing has the potential to disrupt nearly every industry with exponential performance gains over classical computing. Our team is applying quantum methods to improve our Materials Discovery Platform.

  • Faster materials simulations
  • More accurate property predictions
  • Excited states mapping
  • Chemical reaction modeling
  • Molecular geometry
  • Strong electron correlation
Quantum Theory

Our team of theoreticians and quantum chemists are developing key foundational theory to enable quantum computers to solve the most difficult and high value problems in materials science and chemistry.

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Quantum Algorithms

Our team of quantum chemists and computer scientists builds on top of the foundational work of our quantum theory team to develop state-of the art quantum and quantum-inspired algorithms for computational chemistry.

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Quantum Software

Our team of quantum software engineers translate the powerful quantum and quantum-inspired algorithms developed by our algorithm team into optimized code that can be run on any quantum computing hardware.

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Recent Publications

Quantum chemistry on quantum annealers
Read More arxiv.org
Qubit coupled-cluster (QCC) method
Read More arxiv.org
Constrained Variational Quantum Eigensolver
Read More arxiv.org
Relation between fermionic and qubit mean fields in the electronic structure problem
Read More arxiv.org
Symmetry adaptation in quantum chemistry calculations on a quantum computer
Read More  arxiv.org
Iterative Qubit Coupled Cluster approach with efficient screening of generators
Read More arxiv.org
Pauli Partitioning with Respect to Gate Sets
Read More arxiv.org
Revising the measurement process in the variational quantum eigensolver
Read More arxiv.org
A posteriori corrections to the Iterative Qubit Coupled Cluster method
Read More arxiv.org
Sparse Simulation of VQE Circuits
Read More arxiv.org
Efficient Construction of Involutory Linear Combinations of Anticommuting Pauli Generators for Large-Scale Iterative Qubit Coupled Cluster Calculations
Read More arxiv.org
Optimization of the Qubit Coupled Cluster Ansatz on Classical
Computers
Read More arxiv.org
Multistate iterative qubit coupled cluster (MS-iQCC): a quantum-inspired,
state-averaged approach to ground- and excited-state energies
Read More arxiv.org
Estimating Phosphorescent Emission Energies in Ir (III) Complexes
Read More  arxiv.org
Towards Quantum Advantage in Chemistry
Read More  arxiv.org
Parallel iQCC Enables 200 Qubit Scale Quantum Chemistry on Accelerated Computing Platforms Surpassing Classical Benchmarks in Ruthenium Catalysts
Read More  arxiv.org

Our Collaborators

We firmly believe that success requires collaboration across the stack. Our team works closely with leading academic researchers, quantum hardware companies, and industrial partners on advancing quantum computing for materials discovery.
University of Waterloo logo
D-Wave logo
University of Toronto logo
Rigetti logo
IQC logo
Microsoft logo
Interested in learning more about quantum computing for materials discovery?