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1 day ago · Quantum computing. Quantum System One, a quantum computer by IBM from 2019 with 20 superconducting qubits [1] A quantum computer is a computer that exploits quantum mechanical phenomena. On small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages this behavior using specialized hardware.
- Superconducting
Superconducting quantum computing is a branch of solid state...
- Quantum Circuit
Circuit that performs teleportation of a qubit. This circuit...
- Adiabatic Quantum Computers
Adiabatic quantum computing has been shown to be...
- Both Particles and Waves
Wave–particle duality is the concept in quantum mechanics...
- Church–Turing Thesis
In computability theory, the Church–Turing thesis (also...
- Superposition
Quantum superposition is a fundamental principle of quantum...
- Quantum Turing Machine
A quantum Turing machine (QTM) or universal quantum computer...
- IBM Q System One
This integrated quantum computing system is housed in an...
- List of Quantum Processors
This list contains quantum processors, also known as quantum...
- Peter Shor
Peter Williston Shor (born August 14, 1959) is an American...
- Superconducting
May 27, 2024 · The thirty-third Heterogeneity in Computing Workshop (HCW) will be held at the Hyatt Regency San Francisco, San Francisco, California, on May 27, 2024. HCW is annually organized in conjunction with the International Parallel and Distributed Processing Symposium ( IPDPS ).
May 30, 2024 · Heterogeneous computing with CPU and accelerator technologies is widely concerned. However, there are some challenges in the heterogeneous computing. To remove the difficulties, for example, an architecture for unified deep learning with CPU, GPU, and FPGA technologies is presented [1].
May 23, 2024 · Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between task completion time, device power consumption, and load balance, we propose a Graph neural network-enhanced Elite Particle Swarm Optimization (EPSO) model for collaborative scheduling, namely GraphEPSO.
5 days ago · Overview. 2022 has seen a growing body of C++ with SYCL* code to learn from: performance tunability, low-level FPGA implementations, accelerated encrypted computing, GPU to SYCL code migration, and much more. In this session, heterogeneous programming expert James Reinders uses the Sparkler examples (and others) to help expand your C++ ...
6 days ago · Learn to efficiently write SYCL code for heterogeneous computing, including memory management, data dependencies, and subgroups.
Jun 5, 2024 · Heterogeneous computing—by way of definition—is the use of different types of processors—most commonly CPUs and GPUs—to solve complex mathematical tasks. The aim is to enhance performance by breaking the larger tasks down into smaller units, then assigning them to the different processors available.
