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Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue University engineers have made significant advancements in quantum computing, specifically in developing quantum photonic integrated circuits that could enable light-speed computing. This research addresses major challenges in fabricating chips that allow photons to function as qubits, the basic units of quantum information. Photons offer advantages over other quantum particles, such as operating at the speed of light and maintaining stability at room temperature, unlike other qubits that require supercold environments. Professors Vladimir Shalaev and Alexandra Boltasseva lead the work, focusing on creating reliable single-photon sources and developing single-photon switches. Their team has demonstrated a method to emit single photons consistently using silicon nitride and has built a switch capable of operating at the single-photon level. Additionally, a team led by Professor Alexander Kildishev and graduate student Pranshu Maan has developed an approach to predict and mitigate quantum decoherence,...
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Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits

Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits

Diraq Deploys First Silicon Spin Quantum Computer in Commercial Data Center, Targets 256 Qubits
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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.
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Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software

Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software

Q-CTRL Secures $290 Million Series C Funding to Scale Quantum Infrastructure Software
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Cornell Researchers Develop Chip-Based Laser Cooling to Accelerate Quantum Computing

Cornell Researchers Develop Chip-Based Laser Cooling to Accelerate Quantum Computing

Researchers at Cornell University have developed a new chip-based laser-cooling technique designed to address a significant bottleneck in the development of larger and faster quantum computers. Published in PRX Quantum, the findings demonstrate how specially designed laser beams delivered through a microfabricated chip can simultaneously cool multiple types of atomic motion. This method uses integrated photonic components to guide light through microscopic pathways on the same chip that hosts individual atoms, creating a stable standing wave of laser light. By positioning a trapped calcium ion at a point of minimum intensity within this wave, the team can remove energy from its motion while suppressing unwanted heating. This technique has achieved cooling to near the quantum ground state in approximately 150 microseconds, a substantial improvement over conventional methods which take around 500 microseconds.
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Purdue University Faculty Advances AI, Quantum Computing, and Software Security Research

Purdue University Faculty Advances AI, Quantum Computing, and Software Security Research

Armin Moin, an Assistant Professor in Purdue Polytechnic Institute's School of Applied and Creative Computing, is leading research at the intersection of artificial intelligence (AI), software engineering, and quantum computing. Moin directs the Purdue Quantum-Classical AI and Software Engineering (QCASE) Lab, which operates across Purdue's West Lafayette and Indianapolis campuses. The lab's research focuses on four key areas: AI for software engineering, software engineering for AI, quantum software engineering, and software security. This work aims to leverage AI to enhance software development and security, while also developing software for emerging platforms like quantum computers. Moin also prioritizes research mentoring and training, offering undergraduate and graduate students opportunities to engage in research and develop their own ventures. He recently presented the QCASE Lab's research program at Purdue University in Indianapolis, highlighting its emphasis on student mentorship, industry engage...
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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.
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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.
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Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings
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Rigetti Computing Stock Drops 13% Following Q3 Revenue Miss and Q4 Guidance Concerns

Rigetti Computing Stock Drops 13% Following Q3 Revenue Miss and Q4 Guidance Concerns

Rigetti Computing Stock Drops 13% Following Q3 Revenue Miss and Q4 Guidance Concerns
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Cross-Platform Benchmarking Reveals Discrepancy Between Physical Qubits and Entanglement Generation in Quantum Processors

Cross-Platform Benchmarking Reveals Discrepancy Between Physical Qubits and Entanglement Generation in Quantum Processors

A recent cross-platform benchmarking study evaluated nine commercially accessible quantum processors from five vendors, spanning superconducting and trapped-ion technologies, using cloud services. The study focused on the generation of Greenberger–Horne–Zeilinger (GHZ) states, a measure of genuine multipartite entanglement (GME), which is crucial for many quantum algorithms. The findings revealed a significant gap between the total number of physical qubits available on a processor and the size of the largest GHZ state that could be reliably generated. For large superconducting processors (107–156 qubits), the largest GHZ state comprised at most 23% of the register (up to 27 qubits). In contrast, a 12-qubit trapped-ion processor successfully generated a GHZ state with its full register, indicating its performance was limited by register size rather than fidelity. The study also found that median calibration data were poor predictors of benchmark outcomes, and the results were sensitive to statistical decis...
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Deep Tech Companies Prioritize Specialized SEO Agencies for AI Search Visibility in 2026

Deep Tech Companies Prioritize Specialized SEO Agencies for AI Search Visibility in 2026

Deep Tech Companies Prioritize Specialized SEO Agencies for AI Search Visibility in 2026