Chowdhury et al., 2023 - Google Patents
Emulating Quantum Circuits with Generalized Ising MachinesChowdhury et al., 2023
View PDF- Document ID
- 9422887248724944311
- Author
- Chowdhury S
- Camsari K
- Datta S
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
The primary objective of this paper is to present an exact and general procedure for mapping any sequence of quantum gates onto a network of probabilistic p-bits which can take on one of two values 0 and 1. The first p-bits represent the input qubits, while the other …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- 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
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- 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
- 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
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/58—Random or pseudo-random number generators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fisher et al. | Random quantum circuits | |
Camsari et al. | P-bits for probabilistic spin logic | |
Kaiser et al. | Probabilistic computing with p-bits | |
Wipf | Statistical approach to quantum field theory | |
De Lima Marquezino et al. | A primer on quantum computing | |
Yeter-Aydeniz et al. | Scattering in the Ising model with the quantum Lanczos algorithm | |
Chowdhury et al. | Emulating Quantum Circuits with Generalized Ising Machines | |
Koberinski et al. | Quantum theory as a principle theory: insights from an information-theoretic reconstruction | |
Chang et al. | Recent advances in determinant quantum Monte Carlo | |
Fano et al. | Quantum chemistry on a quantum computer | |
Donatella et al. | Continuous-time dynamics and error scaling of noisy highly entangling quantum circuits | |
Daraeizadeh et al. | Machine-learning-based three-qubit gate design for the Toffoli gate and parity check in transmon systems | |
Ayanzadeh | Leveraging Arti cial Intelligence to Advance Problem-Solving with Quantum Annealers | |
Gustafson et al. | Quantum mean estimation for lattice field theory | |
Barry et al. | Qubit phase space: SU (n) coherent-state P representations | |
Delgado-Granados et al. | Quantum Algorithms and Applications for Open Quantum Systems | |
Zahedi | On Discrete Physics: a Perfect Deterministic Structure for Reality-And" A (Direct) Logical Derivation of the Laws Governing the Fundamental Forces of Nature" | |
Al Adeh | Natural limitations of quantum computing | |
Williams | Event generation on quantum computers | |
Wang et al. | Quantum algorithm for preparing the ground state of a physical system through multi-step quantum resonant transitions | |
Cao | Combinatorial algorithms for perturbation theory and application on quantum computing | |
Wang | Quantum Computation in Qudit Space and Applications in Open Quantum Dynamics | |
Makarenko | Presumable applications of cellular automates with strong anticipation in quantum physics | |
Foldager | Quantum Machine Learning in a World of Uncertainty: Towards Practical Applications with Quantum Neural Networks | |
Anand | Chaos and dynamical instability in a closed kicked system |