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Simon Benjamin

05/26/18

@ Y Combinator

The challenge in quantum computing lies in scaling; while achieving high fidelity with a small number of qubits is possible, creating a robust system that consistently performs well with a larger number of qubits is a significant engineering problem.

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Simon Benjamin on Architectures for Quantum Computing

@ Y Combinator

Simon Benjamin on Architectures for Quantum Computing

05/26/18

Related Takeaways

Simon Benjamin

05/26/18

@ Y Combinator

The approach to scalability in quantum computing involves creating small, efficient quantum modules that can be linked together, rather than trying to scale up a single large quantum computer, which presents numerous challenges.

Simon Benjamin

05/26/18

@ Y Combinator

To be genuinely useful, a quantum computer needs to exceed 50 qubits, as tasks requiring fewer qubits can still be efficiently simulated by classical computers, making them less impactful.

Simon Benjamin

05/26/18

@ Y Combinator

The threshold for effective quantum computing has improved to around 99% fidelity, meaning that if a quantum computer operates correctly 99% of the time, it can effectively manage errors and perform complex calculations.

Simon Benjamin

05/26/18

@ Y Combinator

In quantum computing, the challenge is to keep qubits isolated to prevent decoherence, which can be achieved through various techniques, including using vacuum chambers and ion traps.

John Preskill

05/16/18

@ Y Combinator

The key to effective quantum computing is ensuring qubits interact as desired, rather than just focusing on increasing coherence times.

Simon Benjamin

05/26/18

@ Y Combinator

Achieving high fidelity in qubit operations is crucial; the Oxford team has reached a fidelity of 99.9%, which is essential for reliable quantum computing operations.

Brian Cox

04/03/25

@ Big Think

The number of configurations in a quantum system grows exponentially with the number of qubits, making quantum computers potentially capable of computations beyond the reach of classical computers.

Simon Benjamin

05/26/18

@ Y Combinator

The gap between the theoretical usefulness of quantum computers at around 50 qubits and the practical requirements for tasks like code-breaking, which may need thousands of qubits, highlights the current limitations in quantum computing capabilities.

John Preskill

05/16/18

@ Y Combinator

Improving the reliability of quantum gates and reducing error rates will be crucial for scaling quantum computers and enabling them to solve more complex problems.