Schöndorf, 2020 - Google Patents
Qubit measurement and coupling strategies and their applicationsSchöndorf, 2020
View PDF- Document ID
- 7330120115939194888
- Author
- Schöndorf M
- Publication year
External Links
Snippet
A quantum computer can reduce the amount of computational effort for selected applications exponentially by taking advantage of quantum mechanical phenomena of nature. For the realization of a real-world quantum computer, among other things, optimized qubit …
- 239000002096 quantum dot 0 title abstract description 228
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
- G06F17/10—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
- 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
- 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
- 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
- G06N3/00—Computer systems based on biological models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Krantz et al. | A quantum engineer's guide to superconducting qubits | |
Wendin et al. | Quantum bits with Josephson junctions | |
US20110047201A1 (en) | Systems, methods and apparatus for factoring numbers | |
Vozhakov et al. | State control in superconducting quantum processors | |
Ayral et al. | Quantum computing with and for many-body physics | |
Obada et al. | Efficient protocol of N-bit discrete quantum Fourier transform via transmon qubits coupled to a resonator | |
Chow | Quantum information processing with superconducting qubits | |
Zhao et al. | Quantum entanglement and the self-trapping transition in polaronic systems | |
Martin | Quantum feedback for measurement and control | |
Schöndorf | Qubit measurement and coupling strategies and their applications | |
Feng et al. | Quantum computing: principles and applications | |
Wang | Bosonic Quantum Simulation in Circuit Quantum Electrodynamics | |
Touzard | Stabilization of bosonic codes in superconducting circuits | |
Li et al. | High fidelity universal set of quantum gates using non-adiabatic rapid passage | |
Boschero | Performing Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid | |
Rozhdov et al. | Building a generalized Peres gate with multiple control signals | |
Al-Latifi | Optimizing numerical modelling of quantum computing hardware | |
Hashim | Noise Tailoring for Enhancing the Capabilities of Quantum Computers | |
Vrajitoarea | Strongly correlated photonic materials: parametric interactions and ultrastrong coupling in circuit qed | |
Sameti | Quantum simulation with periodically driven superconducting circuits | |
Pearson | Simulating Many-Body Quantum Systems: Quantum Algorithms and Experimental Realisation | |
Chen | Machine Learning and High-Performance Computing in Numerical Simulation of Quantum Many-Body Systems | |
Kasirajan | Qubit Modalities | |
Sampath Kumar | Quantum state control with a superconducting qubit | |
Butcher | Ground States and Phase Transitions in Frustrated Spin Models: Investigations Using Classical and Quantum Monte Carlo |