DiscoverThe New Quantum EraA look back at quantum computing in 2023 with Kevin and Sebastian
A look back at quantum computing in 2023 with Kevin and Sebastian

A look back at quantum computing in 2023 with Kevin and Sebastian

Update: 2024-02-26
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No guest this episode! Instead, Kevin and Sebastian have a conversation looking back on the events of 2023 in quantum computing, wiht a particular focus on three trends: some waning of enthusiasm in the private sector, a surge of investments from the public sector as national and regional governments invest in the quantum computing value chain and the shift from a focus on NISQ to logical qubits.

Qureca's overview of public sector quantum initiatives in 2023
Preskill's NISQ paper from 2018 (yes, I was off by a few years!)
The paper that introduced the idea of VQE: A variational eigenvalue solver on a quantum processor by Peruzzo et al
A variation on VQE that still has some promise An adaptive variational algorithm for exact molecular simulations on a quantum computer by Grimsley et al
Mitiq, a quantum error mitigation framework from Unitary Fund
Peter Shor's first of its kind quantum error correction in the paper Scheme for reducing decoherence in quantum computer memory
Quantinuum demonstrates color codes to implement a logical qubit on their ion trap machine, H-1
Toric codes introduced in Fault-tolerant quantum computation by anyons by Alexei Kitaev
Surface codes and topological qubits introduced in Topological quantum memory by Eric Dennis, Alexei Kitaev, Andrew Landahl, and John Preskill
The threshold theorem is laid out in Fault-Tolerant Quantum Computation With Constant Error Rate by Dorit Aharonov and Michael Ben-Or
The GKP variation on the surface code appears in Encoding a qubit in an oscillator by Daniel Gottesman, Alexei Kitaev, John Preskill
A new LDPC based chip architecture is described in High-threshold and low-overhead fault-tolerant quantum memory by Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta, Dmitri Maslov, Patrick Rall, Theodore J. Yoder
Neutral atoms are used to create 48 logical qubits in Logical quantum processor based on reconfigurable atom arrays by Vuletic's and Lukin's groups at MIT and Harvard respectively

If you have an idea for a guest or topic, please email us.
Also, John Preskill has agreed to return to answer questions from our audience so please send any question you'd like Professor Preskill to answer our way at info@the-new-quantum-era.com

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A look back at quantum computing in 2023 with Kevin and Sebastian

A look back at quantum computing in 2023 with Kevin and Sebastian

Sebastian Hassinger & Kevin Rowney