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Hole spin qubits in germanium have seen significant advancements, though improving control and noise resilience remains a key challenge. Here, the authors realize a dressed singlet-triplet qubit in germanium, achieving frequency-modulated high-fidelity control and a tenfold increase in coherence time.

Studying many-body quantum chaos on current quantum hardware is hindered by noise and limited scalability. Now it is shown that a superconducting processor, combined with error mitigation, can accurately simulate dual-unitary circuit dynamics.

To simulate physical systems on a quantum computer, their degrees of freedom must be encoded into qubits. This Review assesses the different methods that exist to allow quantum calculation of fermionic systems.

In order to be practical, schemes for characterizing quantum operations should require the simplest possible gate sequences and measurements. Here, the authors show how random gate sequences and native measurements (followed by classical post-processing) are sufficient for estimating several gate set properties.

Coherent noise affecting a random error correcting code is now shown to produce a transition between phases that accumulate and destroy magic.

Quantum magic quantifies the resources enabling quantum computers to outperform classical ones. Here, Turkeshi et al show that in chaotic systems, magic builds up quickly, saturating on a time that scales logarithmically with system size, revealing a fundamental feature of quantum complexity.

An array of optical tweezers trapping 6,100 neutral-atom qubits in 12,000 sites is experimentally realized, demonstrating performance exceeding present technologies and enabling the prospect of large-scale quantum computing and quantum error correction.

Colour code on a superconducting qubit quantum processor is demonstrated, reporting above-breakeven performance and logical error scaling with increased code size by a factor of 1.56 moving from distance-3 to distance-5 code.

Reconfigurable arrays of up to 448 neutral atoms are used to implement and combine the key elements of a universal, fault-tolerant quantum processing architecture and experimentally explore their underlying working mechanisms.

The quantum simulation of lattice gauge theories is anticipated to be an important scientific application of future quantum computing capabilities. This work elaborates on a formulation of lattice gauge theory quantum simulation that aims to require quantum computing techniques akin to those for simulating ϕ⁴ scalar field theory by utilizing non-compact continuous variable quantum degrees of freedom.

Hole spin semiconductor qubits suffer from charge noise, but now it has been demonstrated that placing them in an appropriately oriented magnetic field can suppress this noise and improve qubit performance.

Pulse engineering techniques can be used to reduce the average Clifford gate error rates for silicon quantum dot spin qubits down to 0.043%, a factor of three improvement over state-of-the-art silicon devices.

A programmable quantum processor based on encoded logical qubits operating with up to 280 physical qubits is described, in which improvement of algorithmic performance using a variety of error-correction codes is enabled.

Single atoms trapped in optical tweezers offer a promising route to quantum computing, but large-scale individual qubit control remains challenging. Here the authors propose and realize a fiber array architecture that enables independent and highly parallel control of single qubits in a neutral atom array.

In this alternative approach to quantum computation, the all-electrical operation of two qubits, each encoded in three physical solid-state spin qubits, realizes swap-based universal quantum logic in an extensible physical architecture.

Performing quantum computing in the NISQ era requires reliable information on the gate noise characteristics and their performance benchmarks. Here, the authors show how to estimate the individual noise properties of any quantum process from the noisy eigenvalues of its corresponding quantum channel.

There is a trade-off between achieving fast qubit control and preserving long qubit lifetimes. In this work, the authors demonstrate single qubit gates by driving a transmon qubit parametrically at 1/3 of its frequency, creating fast, high-fidelity gates while protecting the qubit lifetime and mitigating heating.

Uncorrected noise prevents quantum computers from running deep algorithms and outperforming classical machines. A method is now reported that allows noisy shallow quantum algorithms to be used to solve classically hard problems.

Two-qubit logic gates in a silicon-based system are shown (using randomized benchmarking) to have high gate fidelities of operation and are used to generate Bell states, a step towards solid-state quantum computation.

A superconducting quantum computer is used to realize an out-of-equilibrium topologically ordered state, which hosts anyonic excitations.

The dynamics of quantum states underlies the emergence of thermodynamics and even recent theories of quantum gravity. Now it has been proven that the quantum complexity of states evolving under random operations grows linearly in time.

Initialization and operation of spin qubits in silicon above 1 K reach fidelities sufficient for fault-tolerant operations at these temperatures.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

Error mitigation has helped improve the performance of current quantum computing devices. Now, a mathematical analysis of the technique suggests its benefits may not extend to larger systems.

Individual electrons trapped on the surface of solid neon can operate as charge qubits with very long coherence times.

This protocol describes how to establish an ovine critical-size, segmental bone defect model to study bone regeneration and reconstruction.

Quantum error correction protocols aim at protecting quantum information from corruption due to decoherence and imperfect control. Using three superconducting transmon qubits, Chow et al. demonstrate necessary elements for the implementation of the surface error correction code on a two-dimensional lattice.

In the adrenal cortex, cholesterol used for steroid production is stored in lipid droplets. The authors demonstrate here the importance of the transcription factor HHEX in maintaining glucocorticoid levels and protecting lipid droplets from androgen-induced lipid depletion.

Measurements combined with post-processing of their outcomes can be used to prepare ordered quantum states. It has been shown that they can drive a Nishimori phase transition into a disordered state even in the presence of quantum errors.

A universal set of logic gates in a superconducting quantum circuit is shown to have gate fidelities at the threshold for fault-tolerant quantum computing by the surface code approach, in which the quantum bits are distributed in an array of planar topology and have only nearest-neighbour couplings.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

In order to be useful for future large-scale quantum computing, quantum error correction needs to allow for fast enough classical decoding time, while at the moment the slowdown is exponential in the size of the code. Here, the authors remove this roadblock, showing how to parallelize decoding and make the slowdown polynomial.

A quantum bit that can be addressed with a gate voltage and has a very high control-fidelity can be realized in an electrically defined silicon quantum dot.

Widely existing self-organised complex structures in nature exhibit a high level of sophistication, yet can one program the self-assembly process to achieve similar result in the lab remains unanswered. Here, Serafin et al. present a non-Euclidean self-assembly theory for polyhedral nanoparticles that offers insight on how to manipulate the process for realising new material capabilities.

Repeated error correction creates a logical qubit encoded in the hybrid state of a superconducting circuit and a bosonic cavity, which is shown to be fully controllable under a universal single-qubit gate set.

In a quantum simulation of a (2+1)D lattice gauge theory using a superconducting quantum processor, the dynamics of strings reveal the transition from deconfined to confined excitations as the effective electric field is increased.

High-performance all-electrical control is a prerequisite for scalable silicon quantum computing. The switchable interaction between spins and orbital motion of electrons in silicon quantum dots now enables the electrical control of a spin qubit with high fidelity and speed, without the need for integrating a micromagnet.