Classiq has launched its Fault Tolerance Engine, a new tool integrated into the Classiq SDK. This engine translates high-level quantum circuits into detailed, hardware-aware execution plans for fault-tolerant quantum processors, specifically using a 3D surface-code lattice. It automates routing and scheduling for quantum error correction, aiming to optimize qubit overhead and runtime. The engine helps developers and hardware designers understand resource needs and bottlenecks before fault-tolerant quantum processing units are widely available.

A proposed qubit made with superfluid helium could cut quantum computing error rates by around 100 times by shielding quantum information from common forms of electromagnetic noise. If experiments con...

A proposed qubit made with superfluid helium could cut quantum computing error rates by around 100 times by shielding quantum information from common forms of electromagnetic noise. If experiments con...

A new preprint shows every n-qubit unitary can be approximated in polynomial depth with exponentially many ancillas, and in constant depth with fan-out gates.

Noah Gorgichuk, Mohammad Ayyash, Matteo Mariantoni, and Sahel Ashhab, Quantum 10, 2224 (2026). We study the problem of $n$-fold rotationally symmetric bosonic state preparation, which is of great importance to bosonic quantum error correction, using a multiphoton interaction between an…

Molecular quantum dynamics simulations that treat both electrons and nuclei quantum mechanically are crucial for predicting chemical reactions. With classical computation, a full wave-function represe...

Researchers successfully transmit four-qubit entanglement over 29km of optical fiber, a key step toward future quantum networks.

Continuous qubit error correction, vital for stable quantum information, faces a hurdle: parity measurements are blocked by a common measurement shortcut.

The number of configurations needed to verify quantum gates now grows linearly with qubit count, offering a path towards scalable device certification. Previously limited by inconsistent identification of input and output qubits, this work establishes bounds on gate fidelity using only two binary measurements per party. This scheme extends verification beyond single states to encompass arbitrary Boolean-phase gates via ‘Boolean derivatives’ and refined six-party analyses for complex operations like CCZ.

Six measurements now suffice where previously twelve were needed to create a fundamental quantum building block, the |CCZ⟩ state. This reduction of 50% in required operations represents an efficiency gain for constructing dependable quantum computers. By representing classical information as a binary linear code, this work shrinks the computational ‘core’ of error suppression by 26.

UMD alum Hanhee Paik helps researchers harness the power of IBM’s quantum computers.

Researchers boost measurement speed of zinc oxide qubits using a new sensor, demonstrating key technologies for scalable quantum computing with Tohoku University’s ZnO device.

We study the noise threshold for positive quantum capacity for the qubit depolarizing channel. We explore analytically the action of the qubit depolarizing channel on the symmetric subspaces of the in...

Alice & Bob and ENS Lyon have demonstrated a DC-biased SQUID architecture for stabilizing cat qubits, replacing traditional microwave pumps with a microvolt-scale DC voltage. This method eliminates unwanted Kerr nonlinearities and provides a scalable control mechanism for superconducting bosonic codes. The experimental setup showed selective activation of 1-to-1, 2-to-1, and 4-to-1 photon conversion processes, enabling deterministic pair-photon extraction and paving the way for more robust quantum error correction.