Design Software For Large-scale Fault Tolerant Quantum Computing
How Plaquette enables quantum hardware manufacturers to simulate, analyse & optimise quantum computing architectures.
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Practical guides for hardware teams on thresholds, error-correction codes, and how Plaquette accelerates the path to fault tolerance.
How Plaquette enables quantum hardware manufacturers to simulate, analyse & optimise quantum computing architectures.
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We've pulled together all of our carousels on fault tolerance into one place. You can think of it as a compact mini-curriculum that lets you explore the key concepts that make quantum fault tolerance so challenging yet remarkably possible.
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People often say it takes ten thousand physical qubits to make one logical qubit. That number is only a rough guide. The real answer depends on the architecture, the application, and the kinds of imperfections in the hardware.
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A fault-tolerant quantum computer depends on more than just powerful qubits. It requires four interconnected elements: error correction codes, error decoding, qubit definition, and qubit control. Each hardware platform shapes these choices differently.
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QC Design's Plaquette now integrates with NVIDIA’s cuQu antum SDK, bringing GPU acceleration to fault-tolerance design. With GPU acceleration, Plaquette can now simulate 400+ qubits on a single RTX 4000—unlocking surface code simulations at distances beyond 5 and speeding up design iterations by
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What happens when multiple types of errors interact? In this carousel, we explore how to visualize fault tolerance thresholds for multiple imperfections. Understanding these shifting thresholds is essential for designing fault-tolerant quantum hardware.
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In quantum computing, fault tolerance isn’t a single threshold—it depends on which errors you’re dealing with. The physics of your qubits determines the dominant errors—and that shapes which error correction codes will work. Learn more in this carousel.
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You’ve probably heard the magic number—99% fidelity—for fault-tolerant quantum computing. But where does it come from? What does it actually mean? And is it really the whole story? In this carousel, we break it all down.
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Learn how to read a surface code diagram, including the difference between data qubits vs. measurement qubits, how to denote bit flip and phase flip errors, and how these diagrams shape quantum hardware design.
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Quantum hardware doesn’t need to be perfect, but it needs to be below the fault-tolerance threshold. Staying below the threshold for all imperfections is not easy, but QC Design’s Plaquette™ makes it easier. Learn more in our carousel.
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Why are quantum teams racing to build LOGICAL qubits? Learn how logical qubits protect quantum information by encoding it across many physical qubits, how this paves the way for big quantum applications, and how QC Design’s Plaquette™ optimizes hardware for success.
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Learn to decode quantum fault tolerance threshold plots—key to scalable quantum computing! Discover how hardware imperfections, logical qubit errors, and qubit size impact thresholds, ensuring error correction surpasses error rates. Explore how Plaquette helps hardware teams tackle these challenges
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Discover why logical qubits are vital for fault-tolerant quantum computing! Learn how encoding quantum information can protect against errors, the role of the fault-tolerance threshold, and how QC Design’s Plaquette™ optimizes hardware for success.
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The post discusses the unique challenges and requirements of building a fault-tolerant quantum computer compared to NISQ computers, emphasizing the need for sophisticated simulations and detailed blueprints to navigate hardware constraints and imperfections.
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A fault-tolerant quantum computer (FTQC) utilizes a large number of physical qubits and gates to create reliable 'logical' qubits and gates. Fault-tolerance is essential for bridging the current 10,000X gap between today's noisy intermediate-scale quantum (NISQ) devices and the requirements for tran
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