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Quantum computation requires qubits that satisfy often-conflicting criteria, including scalable control and long-lasting coherence. One approach to creating a suitable qubit is to operate in an encoded subspace of several physical qubits.…

We describe and analyze leakage errors of singlet-triplet qubits. Even though leakage errors are a natural problem for spin qubits encoded using quantum dot arrays, they have obtained little attention in previous studies. We describe the…

Quantum Physics · Physics 2015-02-24 Sebastian Mehl , Hendrik Bluhm , David P. DiVincenzo

Fast and high fidelity shuttling of spin qubits has been demonstrated in semiconductor quantum dot devices. Several architectures based on shuttling have been proposed; it has been suggested that singlet-triplet (dual-spin) qubits could be…

Quantum Physics · Physics 2026-03-18 Adam Siegel , Simon Benjamin

Spins based in silicon provide one of the most promising architectures for quantum computing. Quantum dots are an inherently scalable technology. Here, we combine these two concepts into a workable design for a silicon-germanium quantum…

Spin qubits in silicon quantum dot arrays are a promising quantum computation platform for long-term scalability due to their small qubit footprint and compatibility with advanced semiconductor manufacturing. However, spin qubit devices…

Quantum Physics · Physics 2026-03-11 Jason D. Chadwick , Willers Yang , Joshua Viszlai , Frederic T. Chong

Leakage is a particularly damaging error that occurs when a qubit state falls out of its two-level computational subspace. Compared to independent depolarizing noise, leaked qubits may produce many more configurations of harmful correlated…

Quantum Physics · Physics 2019-09-04 Natalie C. Brown , Michael Newman , Kenneth R. Brown

Superconducting qubits, while promising for scalability and long coherence times, contain more than two energy levels, and therefore are susceptible to errors generated by the leakage of population outside of the computational subspace.…

Quantum Physics · Physics 2015-02-23 Joydip Ghosh , Austin G. Fowler

We investigate the performance of two quantum error-correcting codes, the surface code and the Bacon-Shor code, for implementation with spin qubits in silicon. In each case, we construct a logical qubit using a planar array of quantum dots,…

Quantum Physics · Physics 2025-06-23 Mauricio Gutiérrez , Juan S. Rojas-Arias , David Obando , Chien-Yuan Chang

Leakage is a particularly damaging error that occurs when a qubit leaves the defined computational subspace. Leakage errors limit the effectiveness of quantum error correcting codes by spreading additional errors to other qubits and…

Quantum Physics · Physics 2020-03-13 Natalie C. Brown , Andrew W. Cross , Kenneth R. Brown

Quantum computers will require quantum error correction to reach the low error rates necessary for solving problems that surpass the capabilities of conventional computers. One of the dominant errors limiting the performance of quantum…

All-electrical baseband control of qubits facilitates scaling up quantum processors by removing issues of crosstalk and heat generation. In semiconductor quantum dots, this is enabled by multi-spin qubit encodings, such as the exchange-only…

Mesoscale and Nanoscale Physics · Physics 2025-11-10 Maximilian Rimbach-Russ , Valentin John , Barnaby van Straaten , Stefano Bosco

Fault-tolerant quantum computers which can solve hard problems rely on quantum error correction. One of the most promising error correction codes is the surface code, which requires universal gate fidelities exceeding the error correction…

Spin qubits in semiconductor structures bring the promise of large-scale 2D integration, with the possibility to incorporate the control electronics on the same chip. In order to perform error correction on this platform, the characteristic…

Quantum Physics · Physics 2024-07-10 Bence Hetényi , James R. Wootton

Two level quantum mechanical systems like spin 1/2 particles lend themselves as a natural qubit implementation. However, encoding a single qubit in several spins reduces the resources necessary for qubit control and can protect from…

Mesoscale and Nanoscale Physics · Physics 2016-06-08 Pascal Cerfontaine , Tim Botzem , Simon Sebastian Humpohl , Dieter Schuh , Dominique Bougeard , Hendrik Bluhm

Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During computation, unused high energy levels of the qubits can…

In this short review, I draw attention to new developments in the theory of fault tolerance in quantum computation that may give concrete direction to future work in the development of superconducting qubit systems. The basics of quantum…

Quantum Physics · Physics 2015-05-13 David P. DiVincenzo

Quantum error correction works effectively only if the error rate of gate operations is sufficiently low. However, some rare physical mechanisms can cause a temporary increase in the error rate that affects many qubits; examples include…

Quantum Physics · Physics 2024-06-28 Shi Jie Samuel Tan , Christopher A. Pattison , Matt McEwen , John Preskill

It is well understood that a two-dimensional grid of locally-interacting qubits is a promising platform for achieving fault tolerant quantum computing. However in the near-future, it may prove less challenging to develop lower dimensional…

Quantum Physics · Physics 2024-11-28 Adam Siegel , Armands Strikis , Michael Fogarty

Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit…

Quantum Physics · Physics 2024-05-01 Kevin C. Miao , Matt McEwen , Juan Atalaya , Dvir Kafri , Leonid P. Pryadko , Andreas Bengtsson , Alex Opremcak , Kevin J. Satzinger , Zijun Chen , Paul V. Klimov , Chris Quintana , Rajeev Acharya , Kyle Anderson , Markus Ansmann , Frank Arute , Kunal Arya , Abraham Asfaw , Joseph C. Bardin , Alexandre Bourassa , Jenna Bovaird , Leon Brill , Bob B. Buckley , David A. Buell , Tim Burger , Brian Burkett , Nicholas Bushnell , Juan Campero , Ben Chiaro , Roberto Collins , Paul Conner , Alexander L. Crook , Ben Curtin , Dripto M. Debroy , Sean Demura , Andrew Dunsworth , Catherine Erickson , Reza Fatemi , Vinicius S. Ferreira , Leslie Flores Burgos , Ebrahim Forati , Austin G. Fowler , Brooks Foxen , Gonzalo Garcia , William Giang , Craig Gidney , Marissa Giustina , Raja Gosula , Alejandro Grajales Dau , Jonathan A. Gross , Michael C. Hamilton , Sean D. Harrington , Paula Heu , Jeremy Hilton , Markus R. Hoffmann , Sabrina Hong , Trent Huang , Ashley Huff , Justin Iveland , Evan Jeffrey , Zhang Jiang , Cody Jones , Julian Kelly , Seon Kim , Fedor Kostritsa , John Mark Kreikebaum , David Landhuis , Pavel Laptev , Lily Laws , Kenny Lee , Brian J. Lester , Alexander T. Lill , Wayne Liu , Aditya Locharla , Erik Lucero , Steven Martin , Anthony Megrant , Xiao Mi , Shirin Montazeri , Alexis Morvan , Ofer Naaman , Matthew Neeley , Charles Neill , Ani Nersisyan , Michael Newman , Jiun How Ng , Anthony Nguyen , Murray Nguyen , Rebecca Potter , Charles Rocque , Pedram Roushan , Kannan Sankaragomathi , Christopher Schuster , Michael J. Shearn , Aaron Shorter , Noah Shutty , Vladimir Shvarts , Jindra Skruzny , W. Clarke Smith , George Sterling , Marco Szalay , Douglas Thor , Alfredo Torres , Theodore White , Bryan W. K. Woo , Z. Jamie Yao , Ping Yeh , Juhwan Yoo , Grayson Young , Adam Zalcman , Ningfeng Zhu , Nicholas Zobrist , Hartmut Neven , Vadim Smelyanskiy , Andre Petukhov , Alexander N. Korotkov , Daniel Sank , Yu Chen

Quantum error correction (QEC) is considered a deciding component in enabling practical quantum computing. Stabilizer codes, and in particular topological surface codes, are promising candidates for implementing QEC by redundantly encoding…

Quantum Physics · Physics 2025-12-12 Josias Old , Stephan Tasler , Michael J. Hartmann , Markus Müller
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