Leadbeater et al., 2023 - Google Patents
Non-unitary Trotter circuits for imaginary time evolutionLeadbeater et al., 2023
View PDF- Document ID
- 13884229818595407838
- Author
- Leadbeater C
- Fitzpatrick N
- Muñoz Ramo D
- Thom A
- Publication year
- Publication venue
- Quantum Science and Technology
External Links
Snippet
We propose an imaginary time equivalent of the well-established Pauli gadget primitive for Trotter-decomposed real time evolution, using mid-circuit measurements on a single ancilla qubit. Imaginary time evolution (ITE) is widely used for obtaining the ground state of a …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/708—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/002—Quantum computers, i.e. information processing by using quantum superposition, coherence, decoherence, entanglement, nonlocality, teleportation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/08—Multi-objective optimization
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Huggins et al. | A non-orthogonal variational quantum eigensolver | |
Tantivasadakarn et al. | Hierarchy of topological order from finite-depth unitaries, measurement, and feedforward | |
Stair et al. | A multireference quantum Krylov algorithm for strongly correlated electrons | |
Sun et al. | Quantum computation of finite-temperature static and dynamical properties of spin systems using quantum imaginary time evolution | |
Cao et al. | Quantum chemistry in the age of quantum computing | |
Córcoles et al. | Challenges and opportunities of near-term quantum computing systems | |
Nelson et al. | Non-adiabatic excited-state molecular dynamics: Theory and applications for modeling photophysics in extended molecular materials | |
Farrell et al. | Quantum simulations of hadron dynamics in the Schwinger model using 112 qubits | |
Lang et al. | Unitary transformation of the electronic hamiltonian with an exact quadratic truncation of the baker-campbell-hausdorff expansion | |
Oftelie et al. | Simulating quantum materials with digital quantum computers | |
Metcalf et al. | Resource-efficient chemistry on quantum computers with the variational quantum eigensolver and the double unitary coupled-cluster approach | |
Whitfield et al. | Simulation of electronic structure Hamiltonians using quantum computers | |
Osborne | Hamiltonian complexity | |
Jaderberg et al. | Minimum hardware requirements for hybrid quantum–classical DMFT | |
Leadbeater et al. | Non-unitary Trotter circuits for imaginary time evolution | |
Chan et al. | Grid-based methods for chemistry simulations on a quantum computer | |
Maskara et al. | Complexity phase diagram for interacting and long-range bosonic Hamiltonians | |
Rieffel et al. | From ansätze to Z-gates: A NASA view of quantum computing | |
Xie et al. | Orthogonal state reduction variational eigensolver for the excited-state calculations on quantum computers | |
Cao et al. | Mitigating algorithmic errors in quantum optimization through energy extrapolation | |
Ratini et al. | Wave function adapted hamiltonians for quantum computing | |
Mishmash et al. | Hierarchical clifford transformations to reduce entanglement in quantum chemistry wave functions | |
Zheng et al. | SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture | |
Bertels et al. | Symmetry breaking slows convergence of the ADAPT Variational Quantum Eigensolver | |
Wang et al. | Critical behavior of the Ising model by preparing the thermal state on a quantum computer |