![]() ![]() System Model H1 doubles its Quantum Volume (again) This research represents a significant step toward the realization of large-scale quantum computing. Who do you think will win the quantum race? Next week we will explore what startups such as IonQ, Rigetti, QCI, and D-Wave System are researching in this space.Taking advantage of its QCCD architecture, for a first in error correction, Honeywell researchers demonstrated repeated rounds of real-time quantum error correction. ![]() Microsoft also focuses on a full stack mindset by developing not only a quantum development kit but also the Q# programming language that can be used to code quantum algorithms in a modality-agnostic language. The next step is braiding this basic unit in order for the system to behave as a full qubit. In the latest development, Microsoft demonstrated that they can create half-electron quasi-particles that are the basis of topological qubits. This means that scaling a commercial quantum computer with 1000 logical qubits will not require millions of physical qubits like other avenues of research.Ĭreating such a topological qubit is Microsoft’s objective for 2018 and they believe that scaling up the system to commercial size can be done in the next few years. “One of our qubits will be as powerful as 1,000 or 10,000 of the noisier qubits,” Microsoft’s Julie Love, director of quantum computing business development. These other approaches are very sensitive to noise and require very complex error correction. Microsoft’s research is along the completely different modality of topological qubits to solve the inherent problems of other qubits modalities such as superconducting qubits. Maximum qubits: 49 physical qubits ( announcement).Spin qubits are small and strong, can work at higher temperature, and resembles the knowhow of traditional transistor manufacturing. The reason Intel is researching this alternative is that superconducting qubits are quite large physically and thus require big coolers which makes it more difficult to scale the technology. Intel’s research focuses both on superconducting qubits and spin qubits, an alternative structure that leverages Intel’s leading expertise in manufacturing silicon transistors. Near term applications research: discrete optimization.The goal is to explore the potential for quantum computers to tackle optimization problems that are difficult or impossible for traditional supercomputers to handle. ![]() In another initiative, Google participates in a Quantum Artificial Intelligence Lab (NASA, Google, USRA) to experiment with a 1,097-qubit D-Wave quantum annealer. Focused verticals: automotive, aerospace, chemistry, pharmaceuticals, defense.Near term applications research: quantum simulation, discrete optimization, quantum machine learning.Maximum qubits: 72 physical qubits ( announcement).The purpose of this system is to provide a testbed for research into system error rates and scalability of Google qubit technology, as well as applications in quantum simulation, optimization, and machine learning. ![]() Google’s research focuses mainly on Bristlecone, a quantum processor based on superconducting qubits. Specifically, it creates the Bell state, or EPR pair. The following series of image shows a very basic experiment that creates entanglement between two qubits so that the state of the system cannot be determined by looking at individual qubits. Then the algorithm can be simulated (3) or scheduled to run in the quantum computer (4). Quantum algorithms can be designed with a graphical user interface (1) or through the Qasm code (2). IBM Q Experience is a cloud-hosted service to experiment with a 5-qubit quantum computer. Near term applications research: quantum simulation, quantum heuristics for optimization, quantum machine learning.Maximum qubits: 50 physical qubits ( announcement, pictures).Computation Model: Universal Gate Model.IBM’s research focuses on superconducting qubits, an approach that leverages IBM’s pre-existing experience with semiconductors and silicon wafer technology. Specifically, I will focus on tech leaders like IBM, Google, Intel, and Microsoft. This week I will review the players investing R&D in quantum computing to contrast their approach, current state and future goals. This is the third article following Quantum Computers: Optimism and Pessimism and Quantum Computers: Models of Computation. It’s Quantum Wednesday! I decided to write a weekly article on quantum computing, such an exciting field in rapid R&D acceleration. ![]()
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