Rudo, 2015 - Google Patents
Influence of strong noise on the Adiabatic Quantum ComputerRudo, 2015
View PDF- Document ID
- 5365515711647064070
- Author
- Rudo P
- Publication year
External Links
Snippet
Despite of the problems in implementation, the Canadian company D-Wave announced in 2004 their plan to build a quantum computer, based on the concept of the adiabatic quantum computer, and claims that this concept is naturally robust against environmental influences …
- 238000004088 simulation 0 abstract description 51
Classifications
-
- 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
- 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
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- 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
-
- 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
- G06F17/13—Differential equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8504497B2 (en) | Methods of adiabatic quantum computation | |
Menchon-Enrich et al. | Spatial adiabatic passage: a review of recent progress | |
US7135701B2 (en) | Adiabatic quantum computation with superconducting qubits | |
US20200293486A1 (en) | Analog processor comprising quantum devices | |
US20110047201A1 (en) | Systems, methods and apparatus for factoring numbers | |
US20200320426A1 (en) | Systems and methods for coupling qubits in a quantum processor | |
Coopmans et al. | Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies | |
Hegde et al. | A topological Josephson junction platform for creating, manipulating, and braiding Majorana bound states | |
US11620561B2 (en) | Method and system for a quantum oracle to obtain the number of quantum ground states | |
Rudo | Influence of strong noise on the Adiabatic Quantum Computer | |
Willsch | Study of quantum annealing by simulating the time evolution of flux qubits | |
Boschero | Performing Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid | |
Zygelman | Adiabatic Quantum Computing | |
Al-Latifi | Optimizing numerical modelling of quantum computing hardware | |
Lin et al. | A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation | |
Tian | A superconducting flux QuBit: measurement, noise and control | |
Theis | Enhancing the performance of quantum computers | |
Javaherian | Quantum transport and switching in long-range coupled quantum systems | |
Choi | Realizations of Quantum Computers | |
Thapliyal et al. | Quantum Computing: Circuits, Systems, Automation and Applications | |
Andersson | Pulse-level simulations of the fermionic-simulation gate on a superconducting quantum processor | |
Riera Moral | Quantum sine-Gordon simulations with superconducting circuits | |
Xu | Modeling and suppressing unwanted parasitic interactions in superconducting circuits | |
Agustin et al. | Efficient modeling of superconducting quantum circuits with tensor networks | |
Cox | Aspects of decoherence in qubit systems |