Tags: Breakthrough

Quantum computing specialist hiring globally after trading breakthrough

einstein
It's not just Goldman Sachs and JPMorgan that are making breakthroughs in quantum computing. After Goldman Sachs recently revealed the success of some of its Monte Carlo simulations using quantum techniques developed by start-up QC Ware, Cambridge Quantum Computing (CQC), said today that it's developed an algorithm that accelerates Monte Carlo integration. And CQC is hiring. Monte Carlo integration is used for financial risk analysis, plus drug development and supply chain logistics. CQC's new algorithm decomposes the Monte Carlo integration, running it partially through a quantum computer and partially through a classical computer, without losing any quantum advantage.  “We are now capable of achieving what was previously only a theoretical quantum speed-up. That’s something that none of the existing quantum Monte Carlo integration...
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Intel Corporation (NASDAQ:INTC) Achieves Breakthrough In Quantum Computing

Intel Corporation
Intel Corporation (NASDAQ:INTC) achieved another milestone in quantum computing. QuTech and Intel utilized its HRCCP (Horse Ridge cryogenic control processor) to show high-fidelity (99.7%) two-qubit control. Horse Ridge controls multiple qubits Intel and QuTech also demonstrated multiple qubits control using Horse Ridge on a single frequency. They utilized Deutsch-Jonza for efficient computing on quantum computers compared to regular computers.Integrates quantum chip and electronics on the same dieIntel can now combine quantum chips and electronics on the same die and improve the volume of quantum computers. Industries can utilize quantum computers for more complex computations. Intel developed the cryogenic control chip – Horse Ridge using its 22-nanometer FinFET Low Power technology. The breakthrough allows mitigating quantum...
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Goldman Sachs makes quantum breakthrough

quantum computing
Goldman Sachs is claiming a quantum computing breakthrough, designing algorithms it says could be used on hardware that may be available in as little as five years. The bank has been working with Silicon Valley startup QC Ware for the past couple of years to investigate the use of quantum algorithms in finance, exploring how the technology will eventually outperform classical computers for finance applications.Researchers at the two firms have been looking at how quantum computing can be tapped for the Monte Carlo algorithm used to evaluate risk and simulate prices for a variety of financial instruments.Using traditional hardware, the complex calculations needed for Monte Carlo are typically executed once overnight, which means that in volatile markets, traders are forced to use...
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Heterogeneous Computing Model Delivers Order-Of-Magnitude Performance Breakthrough

Synopsys heterogenous circuit simulation fig1
Using GPUs to accelerate circuit simulation technology. By Srinivas Kodiyalam (NVIDIA) and Samad Parekh (Synopsys) With the ever-increasing demand for more computing performance, the HPC industry is moving towards a heterogeneous computing model, where GPUs and CPUs work together to perform general-purpose computing tasks. In this heterogeneous computing model, the GPU serves as an accelerator to the CPU, to offload the CPU and to increase computational efficiency. To exploit this computing model and the massively parallel GPU architecture, the application software will need to be redesigned. Synopsys and NVIDIA engineers have been working together to use GPUs to accelerate circuit simulation technology. IC design complexity has continued to grow exponentially. Just in the last...
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Breakthrough for quantum computing with 4 qubit array

schematic of the four qubit quantum processor nico hendrickx for qutech 2048x1152
The group at QuTech, a collaboration between TU Delft and TNO, is led by of Menno Veldhorst and has built a four qubit array using germanium quantum dots. “By putting four such qubits in a two-by-two grid, demonstrating universal control over all qubits, and operating a quantum circuit that entangles all qubits, we have made an important step forward in realizing a scalable approach for quantum computation,” said Veldhorst. Electrons trapped in quantum dots have been studied for more than two decades as a platform for quantum information but scaling beyond two-qubit logic has remained elusive. To break this barrier, the groups of Menno Veldhorst and Giordano Scappucci decided to take an entirely different approach and started to work with holes (i.e. missing electrons) in germanium. Using this approach, the same electrodes needed to define...
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