UCL researchers have developed a groundbreaking technique using arsenic atoms in silicon that achieves a 97% success rate for single-atom placement (compared to phosphorus’s 70%), potentially solving quantum computing’s twin challenges of error rates and scalability through scanning tunneling microscopy hydrogen resist lithography.
A groundbreaking theory bridges quantum mechanics and general relativity by treating the spacetime metric as a quantum operator and introducing an entropy-based gravitational action that yields modified Einstein equations with an emergent cosmological constant, potentially explaining cosmic expansion and dark matter through a novel auxiliary “G-field.”
Harvard scientists have developed a groundbreaking photon router that creates an optical interface between light signals and superconducting microwave qubits, potentially solving a major quantum computing challenge by enabling different quantum systems to communicate efficiently without bulky wires, thus bringing distributed, fiber-optic-based quantum computers closer to reality.
Researchers have achieved a major quantum computing breakthrough by using a 56-qubit quantum computer to generate certifiably random numbers verified by classical supercomputers, marking a shift from theoretical quantum advantage to practical application with significant implications for cryptography, security, and fairness.
Princeton physicists accidentally discovered and directly visualized Hofstadter’s butterfly—a theoretical fractal pattern of electron energy levels predicted in 1976—using scanning tunneling microscopy on twisted bilayer graphene, revealing not only the long-sought fractal energy spectrum but also new quantum phenomena driven by electron interactions beyond Hofstadter’s original calculations.
A new way to combine two materials with special electrical properties — a monolayer superconductor and a topological insulator — provides the best platform to date to explore an unusual form of superconductivity called topological superconductivity. The combination could provide the basis for topological quantum computers that are more stable than their traditional counterparts.
Researchers at the University of Tokyo developed two hybrid quantum systems—an electron-superconducting circuit and an electron-ion coupled system—that successfully demonstrated control over trapped electrons’ temperature and movement, potentially solving key limitations in qubit stability for quantum computing.
A research team has developed an efficient method to measure high-dimensional qudits (advanced versions of qubits that can hold more information and are more noise-resistant) encoded in quantum frequency combs on a single optical chip, marking a significant advancement for quantum networks and communication systems.
A groundbreaking collaboration between the University of Michigan and the University of Regensburg has captured electron movement at the attosecond scale (one quintillionth of a second) using a novel two-pulse light system, potentially enabling quantum computing speeds up to a billion times faster than current capabilities while providing crucial insights into many-body physics.
Physicists have discovered how to switch topological states on and off in a strongly correlated metal using magnetic fields, a breakthrough made possible by the collective behavior of electrons that dramatically amplifies the material’s response to external magnetic fields and could enable new applications in quantum computing and sensor technology.
researchers at Tampere University discovered that quantum light behaves differently from classical light when focused, exhibiting an accelerated Gouy phase anomaly that not only contributes to the ongoing debate about fundamental optical phenomena but also promises enhanced precision in distance measurements.
Researchers from Paderborn and Ulm Universities have developed the first programmable optical quantum memory that can dynamically switch between storage, interference, and release modes, enabling the efficient particle-by-particle creation of entangled quantum states—a breakthrough that outperforms previous methods and brings practical quantum technology applications significantly closer to reality.
Zurich Instruments introduces LabOne Q, an intuitive software framework for scalable quantum computing
Engineers have substantially extended the time that their quantum computing processors can hold information by more than 100 times compared to previous results.
Researchers have engineered a record number of six, silicon-based, spin qubits in a fully interoperable array. Importantly, the qubits can be operated with a low error-rate that is achieved with a new chip design, an automated calibration procedure, and new methods for qubit initialization and readout.
Researchers in quantum technology have succeeded in developing a technique to control quantum states of light in a three-dimensional cavity. In addition to creating previously known states, the researchers are the first ever to demonstrate the long-sought cubic phase state. The breakthrough is an important step towards efficient error correction in quantum computers.
Researchers trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations than would typically be required, all without sacrificing accuracy.
A new study describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and chemistry problems.
Quantum researchers have demonstrated a method for encoding vastly more information into a single photon, opening the door to even faster and more powerful quantum communication tools. Read More Quantum Computers News — ScienceDaily
Researchers have demonstrated how a nanoscale layer of superconducting niobium nitride (NbNx) can be grown directly onto aluminum nitride (AIN). The arrangement of atoms, nitrogen content, and electrical conductivity were found to depend on growth […]
Millions of quantum bits are required for quantum computers to prove useful in practical applications. But this is still a long way off. One problem is that the qubits have to be very close to […]
Researchers have established fundamental theoretical bounds on quantum error mitigation techniques, proving that certain performance limitations are unavoidable physics constraints rather than technological shortcomings, with sampling overhead scaling exponentially with circuit depth for local depolarizing noise and confirming the optimality of probabilistic error cancellation for mitigating local dephasing noise.
The Novo Nordisk Foundation has awarded a grant of US$ 200 million (DKK 1.5 billion) to establish the first full-scale quantum computer for the development of new medicines and provide new insights into climate change and the […]
Across the world, specialists are working on implementing quantum information technologies. One important path involves light: Looking ahead, single light packages, also known as light quanta or photons, could transmit data that is both coded […]
This research demonstrates a groundbreaking implementation of three-qubit Fredkin and Toffoli gates on a programmable quantum photonic chip, overcoming previous limitations of pre-entangled input states and bulk optics systems by using controlled Mach-Zehnder interferometers to enable independent input photons, marking a significant advance toward scalable quantum processors.
The researchers developed MBP (Memory-effect Belief Propagation), an enhanced version of traditional belief propagation that incorporates memory effects and neural network-like inhibition functionality, enabling efficient decoding of highly degenerate quantum error-correcting codes with significantly improved performance, achieving error thresholds of 16% and 17.5% for surface and toric codes respectively.
Paris and Palo Alto, September 14, 2022 – SandboxAQ, an enterprise SaaS company delivering the compound effects of AI and Quantum tech (AQ) to governments and the Global 1000, today announced it has acquired Cryptosense, a leading cybersecurity and […]
Qkrishi Quantum Private Limited and SRM Institute of Science and Technology (SRMIST) have partnered to set up the SRMIST Qkrishi Centre of Excellence in Quantum Information and Computing (SQ-QuIC).
The ARQ19 patent’s claim of achieving long-range quantum key distribution without trusted nodes is unfounded because it relies on an unexplained confidential classical channel between end users that cannot be quantum-based due to distance limitations, making the system’s security ultimately dependent on this non-quantum channel rather than achieving true quantum security.
Researchers theoretically demonstrate how spin-orbit coupled Bose-Einstein condensates in optical cavities can generate topological optical transparencies with Dirac cones and edge-like states, potentially advancing quantum computation through enhanced light-matter interactions that exhibit phase transitions controllable via Raman detuning and atomic damping.