Abstract: For manufacturing-related reasons, the qubits of known quantum computers are not to be regarded as equivalent, but instead a standard quantum computer has not only high-performance qubits with long decoherence times and good fidelities of operation but also low-performance qubits with short decoherence times and poor fidelities of operation. The invention utilizes these by subdividing a system to be modeled with such a quantum computer into a bath part of low relevance and a cluster part of high relevance, wherein a rough description of the bath part is assigned to the low-performance qubits and an exact description of the cluster part is assigned to the high-performance qubits.
Type:
Grant
Filed:
February 6, 2020
Date of Patent:
October 3, 2023
Assignee:
HQS Quantum Simulations GmbH
Inventors:
Michael Marthaler, Jan-Michael Reiner, Sebastian Zanker, Iris Schwenk
Abstract: It is already known that quantum computers can be used to simulate materials and molecules. However, quantum computers are error-prone and exhibit intrinsic noise, which has so far made the real technical application of quantum computers impossible. Approaches are already known from the prior art which, despite the error susceptibility, allow meaningful simulations of quantum mechanical systems to be created, but the errors still exist. Building on this, the invention now makes it possible to reduce the errors and to include the errors as part of the simulation. In addition, the invention makes it possible to inhibit the effect of intrinsic noise. This further improves the technical applicability of quantum computers for simulating materials and molecules.
Type:
Application
Filed:
December 14, 2020
Publication date:
February 16, 2023
Applicant:
HQS Quantum Simulations GmbH
Inventors:
Juha LEPPAEKANGAS, Michael MARTHALER, Sebastian ZANKER
Abstract: A method for simulating a noisy spin system using a quantum computer, wherein a real spin system is based on an abstract quantum spin system and at least one physical parameter to be determined is mapped to the abstract quantum spin system. It is characterized by the fact that a simulation algorithm for the abstract quantum spin system is created and the decoherence rates and the corresponding coupling operators of all available qubits of a quantum computer are determined, as well as that the effective decoherence rates of the spins of the abstract quantum spin system are determined and the effective decoherence rates of the spins of the abstract quantum spin system with the spins and the associated decoherence rates of the qubits of a quantum computer are mapped in such a way that the abstract quantum spin system is then simulated on a quantum computer and the at least one physical parameter of the abstract quantum spin system to be determined is determined.
Type:
Application
Filed:
April 12, 2021
Publication date:
December 15, 2022
Applicant:
HQS Quantum Simulations GmbH
Inventors:
Michael MARTHALER, Sebastian ZANKER, Keith FRATUS
Abstract: For manufacturing-related reasons, the qubits of known quantum computers are not to be regarded as equivalent, but instead a standard quantum computer has not only high-performance qubits with long decoherence times and good fidelities of operation but also low-performance qubits with short decoherence times and poor fidelities of operation. The invention utilizes these by subdividing a system to be modeled with such a quantum computer into a bath part of low relevance and a cluster part of high relevance, wherein a rough description of the bath part is assigned to the low-performance qubits and an exact description of the cluster part is assigned to the high-performance qubits.
Type:
Application
Filed:
February 6, 2020
Publication date:
July 29, 2021
Applicant:
HQS Quantum Simulations GmbH
Inventors:
Michael MARTHALER, Jan-Michael REINER, Sebastian ZANKER, Iris SCHWENK