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Quantum Computing Advances with Research-Scale Applications and Future Error-Corrected Hardware

Quantum Computing Advances with Research-Scale Applications and Future Error-Corrected Hardware

Quantum computing leverages the principles of quantum mechanics, such as superposition and entanglement, to tackle complex problems beyond the scope of classical computers. Currently, research-scale applications are operational, including analog simulations of spin models on neutral-atom platforms. However, the development of high-value applications, particularly those requiring extensive chemistry calculations, necessitates error-corrected hardware that is not yet available at the necessary scale. The credibility of quantum applications is determined by resource estimates, which include the number of logical qubits, non-Clifford gates, runtime, and the logical error rate required for a complete computation. These factors dictate whether a problem can be effectively addressed by a given quantum machine, taking into account the overhead of quantum error correction and how quantum compilers translate applications into hardware operations. Industries frequently identified as potential beneficiaries of quantum...

D-Wave Quantum Pursues Dual Quantum Computing Approaches Amidst Intensifying Competition

D-Wave Quantum Pursues Dual Quantum Computing Approaches Amidst Intensifying Competition

D-Wave Quantum Pursues Dual Quantum Computing Approaches Amidst Intensifying Competition

TU Delft Researchers Test Quantum Inspire's Integration with DelftBlue Supercomputer for Power Grid Problem

TU Delft Researchers Test Quantum Inspire's Integration with DelftBlue Supercomputer for Power Grid Problem

TU Delft researcher Zeynab Kaseb has become the first user to test the integration of Quantum Inspire, QuTech’s open cloud quantum computer, with DelftBlue, TU Delft’s high-performance computer. This workflow allows researchers to use DelftBlue for classical calculations and then send quantum circuits through Quantum Inspire to run on real-world quantum computers. Kaseb utilized this integrated infrastructure to study power flow in a small network, specifically exploring the Quantum Approximate Optimization Algorithm (QAOA). DelftBlue prepared and optimized the calculation, while Quantum Inspire provided access to the Tuna-17 quantum processor, returning measurements for analysis. This test demonstrates a complete route from classical calculation to quantum circuit execution and back to analysis.

Purdue University Engineers Advance Photonic Quantum Computing with Innovations in Qubit Technology

Purdue University Engineers Advance Photonic Quantum Computing with Innovations in Qubit Technology

Engineers at Purdue University have made significant advancements in quantum computing by developing solutions for building scalable quantum photonic integrated circuits. Their research focuses on using photons, the smallest particles of light, as qubits. Photons offer advantages such as faster data transfer at the speed of light and stability at room temperature, unlike other qubit types that require super-cold environments. The Purdue team, led by Vladimir Shalaev and Alexandra Boltasseva, has addressed key challenges in fabricating these chips, including creating reliable single-photon sources and developing a single-photon switch. They demonstrated a method to emit exactly one photon at room temperature from silicon nitride platforms and created a switch capable of operating at the single-photon level. Additionally, their research, in collaboration with Alexander Kildishev and Pranshu Maan, has led to an approach for predicting and reducing quantum decoherence, a major source of errors in quantum compu...

Atom Computing Secures $100 Million Department of Commerce Award to Accelerate Fault-Tolerant Quantum Computing Development

Atom Computing Secures $100 Million Department of Commerce Award to Accelerate Fault-Tolerant Quantum Computing Development

Atom Computing has finalized an agreement for up to $100 million with the U.S. Department of Commerce. This significant award is designated to accelerate the research and development of fault-tolerant, utility-scale quantum computers. The funding will support several strategic R&D initiatives by Atom Computing, including the in-house development of critical technologies to enhance system performance, reliability, and vertical integration. It will also facilitate the expansion of parallel engineering and testbed infrastructure to rapidly validate innovations and speed up product development. Furthermore, the award aims to strengthen R&D collaboration with key supply chain partners to support manufacturing scale-up and long-term growth in the quantum computing sector. This investment underscores the U.S. government's commitment to advancing next-generation computing technologies vital for national security, economic competitiveness, and scientific leadership.

Quantum Systems May Bypass Slow Driving with New Measurement Shortcut

Quantum Systems May Bypass Slow Driving with New Measurement Shortcut

Researchers, including Adolfo del Campo of the University of Luxembourg, have demonstrated that quantum systems can bypass slow driving protocols through a new measurement shortcut. This approach utilizes stroboscopic measurements of a time-dependent projector to generate a quantum Zeno dynamics, with an effective Hamiltonian that mirrors the Kato-Avron Hamiltonian for parallel transport. This method offers an alternative to traditional slow driving, which can accumulate errors in quantum systems, by steering a quantum system towards a target state or subspace more efficiently. The study establishes a generalized Schulman relation, connecting quantum Zeno dynamics across various scenarios, including pulsed measurements, continuous monitoring of time-dependent observables, and non-Hermitian quantum evolution using time-varying complex absorbing potentials. A key finding is the identification of a purely geometric bound on the measurement resources required to control a quantum system's path, suggesting that...

Department of Commerce Finalizes $100 Million CHIPS R Award to Atom Computing

Department of Commerce Finalizes $100 Million CHIPS R Award to Atom Computing

The U.S. Department of Commerce’s CHIPS Research and Development Office has finalized an R&D award of up to $100 million to Atom Computing, a company specializing in neutral-atom quantum computing. This award, granted under the CHIPS and Science Act, is intended to accelerate strategic research and development initiatives crucial for the advancement of semiconductors and related technologies. The funding will support the development of utility-scale, commercially useful neutral-atom-based quantum computers. Key areas of focus include hardware development and systems integration necessary to manipulate, control, and address tens of thousands of qubits, as well as validating their performance. This investment aims to bolster U.S. leadership in quantum computing technology.

TU Delft Integrates Quantum Inspire with Supercomputer DelftBlue for Hybrid Quantum-Classical Computing Research

TU Delft Integrates Quantum Inspire with Supercomputer DelftBlue for Hybrid Quantum-Classical Computing Research

TU Delft has successfully integrated its Quantum Inspire platform, an open cloud quantum computer, with its high-performance supercomputer, DelftBlue. This integration allows researchers to combine classical computing for preparation and analysis with quantum hardware for executing quantum algorithms. Zeynab Kaseb, a researcher at TU Delft, was the first to test this integrated infrastructure by studying power flow in a small electrical network. DelftBlue handled the mathematical objective and optimized circuit parameters using a simulator, while Quantum Inspire provided access to QuTech's Tuna-17 quantum processor for running the quantum circuits. The measurements from Tuna-17 were then decoded and analyzed, demonstrating a complete workflow from classical calculation to quantum execution and back to analysis. This hybrid approach enables researchers to test quantum algorithms on real hardware while leveraging classical computing for essential preparatory and evaluative tasks.

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Purdue Researchers Advance Quantum Chip Technology by Controlling Photons

Purdue Researchers Advance Quantum Chip Technology by Controlling Photons

Researchers at Purdue University are making strides in quantum computing by exploring methods to generate, control, and stabilize photons on quantum chips. Their work involves three distinct experiments: one focusing on producing individual photons from defects in silicon nitride at room temperature, another demonstrating how a single photon can switch a stronger beam of light on and off using an electron avalanche, and a third addressing the issue of frequency shifts in photon emitters. The team, including Vladimir Shalaev, Alexandra Boltasseva, Alexander Kildishev, and graduate student Pranshu Maan, aims to overcome engineering challenges in creating reliable light sources for future quantum circuits. They have developed a machine-learning model to predict frequency shifts in emitters, which could help stabilize photon properties crucial for quantum interference. This research is foundational for developing quantum photonic circuits where qubits are encoded in properties of light.

Quantum X Labs Outlines Aggressive Roadmap for Cold-Atom Quantum Computing, Targeting 800 Logical Qubits by 2030

Quantum X Labs Outlines Aggressive Roadmap for Cold-Atom Quantum Computing, Targeting 800 Logical Qubits by 2030

Quantum X Labs Outlines Aggressive Roadmap for Cold-Atom Quantum Computing, Targeting 800 Logical Qubits by 2030

Lund University Seeks Doctoral Student for Attosecond Physics Research in Quantum Information Science

Lund University Seeks Doctoral Student for Attosecond Physics Research in Quantum Information Science

Lund University's Division of Atomic Physics is seeking a doctoral student to join a research project focused on attosecond physics within the framework of Quantum Information Science and Ultrafast Nonlinear Control at the Attosecond Timescale (QU-ATTO) network. The research involves generating and applying extremely short light pulses in the attosecond and extreme ultraviolet range to study electron dynamics in atoms and molecules. The project specifically aims to improve a technique for tomographic reconstruction of entangled states in photoionization, focusing on reconstructing the density matrix of photoelectrons from ultrashort XUV pulses. This position is part of a Marie Sklodowska-Curie doctoral network, which includes specific eligibility requirements, such as not having worked in Sweden for the past five years, and offers a training network across Europe with 15 other PhD students. The successful candidate will engage in research projects and third-cycle courses, with potential for up to 20% depar...