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公开(公告)号：US20220092460A1
公开(公告)日：2022-03-24
申请号：US17029290
申请日：2020-09-23
摘要： Techniques facilitating error mitigation for quantum computing devices. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components comprise: an approximation component; a budget component; and an optimization component. The approximation component can generate an approximate decomposition of a quantum gate. The budget component can set a budget value (Cbudget) for a C-factor that is a metric for increase in variance of quasi-probability sampling. The optimization component can determine an optimal decomposition for the quantum gate as a function of Cbudget.
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公开(公告)号：US20210035003A1
公开(公告)日：2021-02-04
申请号：US16526382
申请日：2019-07-30
摘要： Techniques regarding determining a three-dimensional structure of a heteropolymer 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 polymer folding component that can generate a course-grained model to determine a three-dimensional structure of a heteropolymer based on a first qubit registry that encodes a conformation of the heteropolymer on a lattice and a second qubit registry that encodes an interaction distance between monomers comprised within the heteropolymer.
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公开(公告)号：US20200342959A1
公开(公告)日：2020-10-29
申请号：US16397281
申请日：2019-04-29
发明人： Ivano Tavernelli , Panagiotis Barkoutsos , Stefan Woerner , Alessandro Curioni , Fotios Gkritsis
摘要： A method of designing a molecule for an environment of interest using a quantum computer includes providing a linear superposition of a plurality of molecular species, the plurality of molecular species being initially weighted by equal initial coefficients; determining a lowest-energy quantum state for the superposition of the plurality of molecular species in a vacuum environment and in the environment of interest using a quantum optimization process; calculating a difference in lowest energy states between the vacuum environment and the environment of interest for each molecular species to provide a cost of the superposition of the plurality of molecular species; performing a quantum optimization process to determine a minimum cost for the superposition of the plurality of molecular species and to determine updated coefficients weighting the plurality of molecular species; and identifying the molecule for the environment of interest based on a comparison of the updated coefficients.
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公开(公告)号：US11494532B2
公开(公告)日：2022-11-08
申请号：US16443127
申请日：2019-06-17
发明人： Stefan Woerner , Christa Zoufal , Daniel Josef Egger , Panagiotis Barkoutsos , Ivano Tavernelli
摘要： Techniques and a system to facilitate simulation-based optimization on a quantum computer are provided. In one example, a system includes a quantum processor. The quantum processor performs a quantum amplitude estimation process based on a probabilistic distribution associated with a decision-making problem. Furthermore, the quantum processor includes a simulator that simulates the decision-making problem based on the quantum amplitude estimation process.
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公开(公告)号：US11308252B1
公开(公告)日：2022-04-19
申请号：US17097652
申请日：2020-11-13
发明人： Christophe Piveteau , David Sutter , Paul Kristan Temme , Sergey Bravyi , Jay Michael Gambetta , Stefan Woerner
IPC分类号： G06F30/3308 , G06F119/10 , G06F30/39 , G06N10/00 , G06F17/18
摘要： Techniques that combine quantum error correction and quantum error mitigation are used to simulate a fault-tolerant T-gate with low sampling overhead using the quasiprobability decomposition method. In some embodiments, the T-gate can be simulated using two logical bits and a magic state preparation that mitigates the need for magic state distillation and consequently has a low sampling overhead. Alternatively, the T-gate can be simulated based on code deformation performed on the surface code. Noise is removed from the T-gate using quasiprobability decomposition based on a learned logical error rate.
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6.发明申请公开(公告)号：US20210133613A1
公开(公告)日：2021-05-06
申请号：US16671796
申请日：2019-11-01
摘要： Systems, computer-implemented methods, and computer program products to facilitate quantum state preparation of a probability distribution to perform amplitude estimation 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 data loader component that prepares a quantum state of a probability distribution based on structure of a quantum amplitude estimation algorithm. The computer executable components can further comprise an operator component that constructs a quantum operator based on the quantum state to perform quantum amplitude estimation.
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公开(公告)号：US10810665B2
公开(公告)日：2020-10-20
申请号：US16004649
申请日：2018-06-11
发明人： Stefan Woerner , Daniel Josef Egger
摘要： The technology described herein is directed towards quantum circuits used to analyze risk, including expected value, variance, value at risk and conditional value at risk metrics. Aspects can comprise modeling uncertainty of one or more random variables to provide a first quantum sub-circuit by mapping the one or more variables to quantum states represented by a selected number of qubits using quantum gates, and encoding a risk metric into a second quantum sub-circuit, the second quantum sub-circuit comprising a first ancilla qubit and Y-rotations controlled by one or more other qubits. Further aspects can comprise performing amplitude estimation based on the first sub-circuit and the second sub-circuit to extract a probability value corresponding to the risk metric, wherein the probability value represents a probability of measuring a one state in the ancilla qubit.
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公开(公告)号：US11809964B1
公开(公告)日：2023-11-07
申请号：US18064043
申请日：2022-12-09
发明人： Daniel Josef Egger , Stefan Woerner
IPC分类号： G06N10/00 , G06F17/11 , G06Q40/06 , G06V10/762 , G06F17/16
CPC分类号： G06N10/00 , G06F17/11 , G06Q40/06 , G06V10/762 , G06F17/16
摘要： Systems and methods that address an optimized method to handle portfolio constraints such as integer budget constraints and solve portfolio optimization problems that map both to mixed binary and quadratic binary optimization problems. A digital processor is used to create a hierarchical clustering; this clustering is leveraged to allocate capital to sub-clusters of the hierarchy. Once the sub-clusters are sufficiently small, a quantum processor is used to solve the portfolio optimization problem. Thus, the innovation employs clustering to reduce an optimization problem to sub-problems that are sufficiently small enough to be solved using a quantum computer given available qubits.
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公开(公告)号：US11676056B2
公开(公告)日：2023-06-13
申请号：US16369885
申请日：2019-03-29
发明人： Pauline Ollitrault , Panagiotis Barkoutsos , Stefan Woerner , Marco Pistoia , Antonio Mezzacapo , Ivano Tavernelli
摘要： 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.
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10.发明授权公开(公告)号：US11651264B2
公开(公告)日：2023-05-16
申请号：US16739591
申请日：2020-01-10
摘要： Systems and methods that address an optimized method to improve systems and methods for handling inequality constraints in mixed binary optimization problems on quantum computers and to solve local optima which significantly improves system performance. Embodiments employ an improved methodology that can optimize parameters, determine an optimal slack variable and optimize variational parameters for fixed slack variables. This procedure allows to move out of local minima, solve an optimization and improve the system performance by providing optimal results. These embodiments also extend to variational hybrid quantum/classical algorithms for gate-based quantum computers.
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