Patents by Inventor Antonio Mezzacapo

Antonio Mezzacapo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11894107
    Abstract: Systems and techniques that facilitate precision-preserving qubit reduction based on spatial symmetries in fermionic systems are provided. In one or more embodiments, a symmetry component can generate a diagonalized second quantization representation of a spatial point group symmetry operation. The spatial point group symmetry operation can be associated with a molecule (e.g., a geometrical rotation, reflection, and/or inversion of a physical molecule that results in a new molecular orientation that is substantially the same as the original molecular orientation). In one or more embodiments, a transformation component can convert the diagonalized second quantization representation into a single Pauli string. In one or more embodiments, a tapering component can taper off qubits in a computational quantum algorithm that models properties of the molecule, based on the single Pauli string.
    Type: Grant
    Filed: October 22, 2019
    Date of Patent: February 6, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Kanav Setia, Sergey Bravyi, Antonio Mezzacapo, Richard Chen, Marco Pistoia, Julia Elizabeth Rice
  • Publication number: 20230289637
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate estimation of an expected energy value of a Hamiltonian based on data of the Hamiltonian, the quantum state produced by a quantum device and/or entangled measurements are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a selection component that selects a quantum state measurement basis having a probability defined based on a ratio of a Pauli operator in a Hamiltonian of a quantum system. The computer executable components can further comprise a measurement component that captures a quantum state measurement of a qubit in the quantum system based on the quantum state measurement basis.
    Type: Application
    Filed: May 11, 2023
    Publication date: September 14, 2023
    Inventors: Rudy Raymond Harry Putra, Sergey Bravyi, Antonio Mezzacapo
  • Patent number: 11734387
    Abstract: Techniques regarding an iterative energy-scaled variational quantum eigensolver process are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a read-out component that determines a ground state energy value of a quantum Hamiltonian by employing a variational quantum eigensolver (VQE) algorithm, wherein VQE algorithm utilizes a symmetry that emerges at an energy scale of the quantum Hamiltonian.
    Type: Grant
    Filed: March 3, 2022
    Date of Patent: August 22, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia
  • Patent number: 11687815
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate estimation of an expected energy value of a Hamiltonian based on data of the Hamiltonian, the quantum state produced by a quantum device and/or entangled measurements are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a selection component that selects a quantum state measurement basis having a probability defined based on a ratio of a Pauli operator in a Hamiltonian of a quantum system. The computer executable components can further comprise a measurement component that captures a quantum state measurement of a qubit in the quantum system based on the quantum state measurement basis.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: June 27, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Rudy Raymond Harry Putra, Sergey Bravyi, Antonio Mezzacapo
  • Patent number: 11687814
    Abstract: Techniques regarding a threshold scheme for quantum recommendation algorithms are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a quantum recommendation component that can project a preference vector onto a portion of a Hilbert space based on a value of a qubit phase register. The portion of the Hilbert space can encode singular values of a preference matrix that are greater than or equal to a defined threshold.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: June 27, 2023
    Assignee: INTERNATTONAL BUSINESS MACHINES CORPORATION
    Inventors: Antonio Mezzacapo, Jennifer Ranae Glick
  • Patent number: 11676056
    Abstract: A method for calculating excited state properties of a molecular system using a hybrid classical-quantum computing system includes determining, using a quantum processor and memory, a ground state wavefunction of a combination of quantum logic gates. In an embodiment, the method includes forming a set of excitation operators. In an embodiment, the method includes forming a set of commutators from the set of excitation operators and a Hamiltonian operator. In an embodiment, the method includes mapping the set of commutators onto a set of qubit states, the set of qubit states corresponding to a set of qubits of the quantum processor. In an embodiment, the method includes evaluating, using the quantum processor and memory, the set of commutators. In an embodiment, the method includes causing a quantum readout circuit to measure an excited state energy from the set of computed commutators.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: June 13, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pauline Ollitrault, Panagiotis Barkoutsos, Stefan Woerner, Marco Pistoia, Antonio Mezzacapo, Ivano Tavernelli
  • Publication number: 20230177367
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate training of quantum Boltzmann machines by quantum imaginary-time evolution. According to an embodiment, a system can comprise computer executable components stored in memory. The computer executable components comprise an evaluation component that evaluates a Kullback-Leibler divergence gradient by a sampling procedure, where samples are generated by quantum imaginary-time evolution and a Hadamard circuit.
    Type: Application
    Filed: December 7, 2021
    Publication date: June 8, 2023
    Inventors: Antonio Mezzacapo, Mario Motta
  • Publication number: 20230133198
    Abstract: Systems and techniques that facilitate max-cut approximate solution via quantum relaxation are provided. In various embodiments, a system can comprise a receiver component that can access a graph having a set of vertices and a set of edges. In various instances, the system can comprise a rounding component that can compute a max-cut approximate solution for the graph based on a quantum Hamiltonian relaxation of the graph.
    Type: Application
    Filed: November 2, 2021
    Publication date: May 4, 2023
    Inventors: Antonio MEZZACAPO, Charles HADFIELD, Rudy Raymond HARRY PUTRA, Toshinari ITOKO, Takashi IMAMICHI
  • Patent number: 11544611
    Abstract: Techniques regarding quantum computation of molecular excited states are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can categorize a plurality of excited operators from a mapped qubit Hamiltonian into sectors based on a commutation property of the plurality of excited operators with a symmetry from the mapped qubit Hamiltonian. The computer executable components can also comprise a matrix component that can generate an equation of motion matrix from an excited operator from the plurality of excited operators based on the sectors categorized by the initialization component.
    Type: Grant
    Filed: December 12, 2018
    Date of Patent: January 3, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Richard Chen, Antonio Mezzacapo, Marco Pistoia, Pauline Ollitrault, Ivano Tavernelli, Jay M. Gambetta
  • Publication number: 20220292381
    Abstract: Techniques for quantum entanglement forging for quantum simulations are presented. A decomposer component can decompose a weakly entangled variational state into respective local components of the weakly entangled variational state, wherein the respective local components describe respective tensor product states. A quantum computing simulator component can perform respective quantum simulations of the respective local components of the weakly entangled variational state, and can determine respective portions of variational energy contributed by the respective tensor product states associated with the respective local components based on the respective quantum simulations of the respective local components of the weakly entangled variational state. An energy determination component can determine a variational energy associated with the weakly entangled variational state based on the respective portions of the variational energy contributed by the respective tensor product states.
    Type: Application
    Filed: March 12, 2021
    Publication date: September 15, 2022
    Inventors: Sergey Bravyi, Sarah Elizabeth Sheldon, Mario Motta, Antonio Mezzacapo, Tanvi Pradeep Gujarati, Andrew Eddins
  • Patent number: 11372651
    Abstract: A method for bootstrapping a variational algorithm for quantum computing includes performing, using a quantum processor, a first iteration of a variational algorithm on a first wavefunction to compute a first expectation value of a first quantum system corresponding to a solution of the first iteration, the first wavefunction corresponding to a first quantum state of the first quantum system, the first expectation value comprising an energy of the first quantum state. The embodiment includes generating, based on the solution of the first iteration a second wavefunction as output of the first iteration of the variational algorithm, the second wavefunction corresponding to a second quantum state of the first quantum system.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: June 28, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Stephen Wood, Richard Chen, Marco Pistoia, Antonio Mezzacapo, Jay M. Gambetta
  • Publication number: 20220188381
    Abstract: Techniques regarding an iterative energy-scaled variational quantum eigensolver process are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a read-out component that determines a ground state energy value of a quantum Hamiltonian by employing a variational quantum eigensolver (VQE) algorithm, wherein VQE algorithm utilizes a symmetry that emerges at an energy scale of the quantum Hamiltonian.
    Type: Application
    Filed: March 3, 2022
    Publication date: June 16, 2022
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia
  • Patent number: 11321619
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate state dependent calibration of qubit measurements are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a state prediction component that predicts a readout state of one or more qubits of a quantum circuit. The computer executable components can further comprise a calibration component that calibrates a qubit readout signal based on the readout state to generate a state dependent qubit readout signal to read the one or more qubits.
    Type: Grant
    Filed: August 14, 2019
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia, Jay M. Gambetta
  • Patent number: 11294986
    Abstract: Techniques regarding an iterative energy-scaled variational quantum eigensolver process are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a read-out component that determines a ground state energy value of a quantum Hamiltonian by employing a variational quantum eigensolver (VQE) algorithm, wherein VQE algorithm utilizes a symmetry that emerges at an energy scale of the quantum Hamiltonian.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: April 5, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia
  • Patent number: 11074519
    Abstract: Techniques regarding quantum algorithm concatenation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a concatenation component, operatively coupled to the processor, that can concatenate a first quantum algorithm and a second quantum algorithm by using an output of the first quantum algorithm as an initial parameter in the second quantum algorithm.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: July 27, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Shaohan Hu, Antonio Mezzacapo, Marco Pistoia, Peng Liu, Richard Chen, Stephen Wood, Jay M. Gambetta
  • Publication number: 20210182726
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate estimation of an expected energy value of a Hamiltonian based on data of the Hamiltonian, the quantum state produced by a quantum device and/or entangled measurements are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a selection component that selects a quantum state measurement basis having a probability defined based on a ratio of a Pauli operator in a Hamiltonian of a quantum system. The computer executable components can further comprise a measurement component that captures a quantum state measurement of a qubit in the quantum system based on the quantum state measurement basis.
    Type: Application
    Filed: December 16, 2019
    Publication date: June 17, 2021
    Inventors: Rudy Raymond Harry Putra, Sergey Bravyi, Antonio Mezzacapo
  • Publication number: 20210157877
    Abstract: Techniques regarding an iterative energy-scaled variational quantum eigensolver process are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a read-out component that determines a ground state energy value of a quantum Hamiltonian by employing a variational quantum eigensolver (VQE) algorithm, wherein VQE algorithm utilizes a symmetry that emerges at an energy scale of the quantum Hamiltonian.
    Type: Application
    Filed: November 22, 2019
    Publication date: May 27, 2021
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia
  • Publication number: 20210118529
    Abstract: Systems and techniques that facilitate precision-preserving qubit reduction based on spatial symmetries in fermionic systems are provided. In one or more embodiments, a symmetry component can generate a diagonalized second quantization representation of a spatial point group symmetry operation. The spatial point group symmetry operation can be associated with a molecule (e.g., a geometrical rotation, reflection, and/or inversion of a physical molecule that results in a new molecular orientation that is substantially the same as the original molecular orientation). In one or more embodiments, a transformation component can convert the diagonalized second quantization representation into a single Pauli string. In one or more embodiments, a tapering component can taper off qubits in a computational quantum algorithm that models properties of the molecule, based on the single Pauli string.
    Type: Application
    Filed: October 22, 2019
    Publication date: April 22, 2021
    Inventors: Kanav Setia, Sergey Bravyi, Antonio Mezzacapo, Richard Chen, Marco Pistoia, Julia Elizabeth Rice
  • Patent number: 10963809
    Abstract: Techniques for performing cost function deformation in quantum approximate optimization are provided. The techniques include mapping a cost function associated with a combinatorial optimization problem to an optimization problem over allowed quantum states. A quantum Hamiltonian is constructed for the cost function, and a set of trial states are generated by a physical time evolution of the quantum hardware interspersed with control pulses. Aspects include measuring a quantum cost function for the trial states, determining a trial state resulting in optimal values, and deforming a Hamiltonian to find an optimal state and using the optimal state as a next starting state for a next optimization on a deformed Hamiltonian until an optimizer is determined with respect to a desired Hamiltonian.
    Type: Grant
    Filed: April 6, 2020
    Date of Patent: March 30, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jay M. Gambetta, Antonio Mezzacapo, Ramis Movassagh, Paul K. Temme
  • Publication number: 20210049482
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate state dependent calibration of qubit measurements are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a state prediction component that predicts a readout state of one or more qubits of a quantum circuit. The computer executable components can further comprise a calibration component that calibrates a qubit readout signal based on the readout state to generate a state dependent qubit readout signal to read the one or more qubits.
    Type: Application
    Filed: August 14, 2019
    Publication date: February 18, 2021
    Inventors: Antonio Mezzacapo, Richard Chen, Marco Pistoia, Jay M. Gambetta