Method and system for computation of molecular properties via quantum autoencoders
AssigneeTata Consultancy Services Limited
InventorsANKIT KHANDELWAL, NIRMAL MAMMAVALAPPIL RAJAN, MARISWAMY GIRISH CHANDRA
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AssigneeTata Consultancy Services Limited
InventorsANKIT KHANDELWAL, NIRMAL MAMMAVALAPPIL RAJAN, MARISWAMY GIRISH CHANDRA
Estimating the term…
A method and system for computation of molecular properties via quantum autoencoders is disclosed. The disclosure provides quantum machine learning-based method to compress molecular Hamiltonians and efficiently relevant property of a molecule given at a geometry, thereby significantly reducing resource requirements. The method disclosed leverages a quantum autoencoder which is trained using ground states corresponding to molecular geometries of the molecule and a classical optimizer. An n-quantum bit (qubit) transformed property operator of an n-qubit property operator is determined using the trained quantum autoencoder. Further, n-qubit transformed property operator is compressed by performing a series of Pauli term processing to obtain a m-qubit compressed property operator. Further, a relevant molecular property at the geometry is determined using a variational quantum eigen solver (VQE) or using compressed ground state. The present disclosure is used to determine any property of the molecule at a given geometry using a reduced resource requirement.
A method for computation of molecular properties via quantum autoencoders, comprising:
A system, comprising:
One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more classical hardware processors and a plurality of Quantum Processor Units (QPUs) cause:
Dependencies are inferred from the claim text.