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A global study conducted by various international quantum industry consortia found that 90% of quantum companies rely on cross-border supply chains for hardware and software, with 74% serving international customers. The report, based on data from 160 quantum enterprises across 15 countries, highlights the interconnectedness of the global quantum economy and the challenges this poses for national protectionist trade policies. It emphasizes the need for multilateral frameworks to maintain trusted trade channels while safeguarding sensitive technologies.

An independent benchmark on IBM Heron hardware evaluated commercial quantum error management tools. Q-CTRL and Qedma QESEM significantly reduced errors compared to IBM's native Qiskit Runtime, with Qedma achieving the highest precision at a higher QPU time cost, while Q-CTRL offered a balance of error reduction and runtime. The study highlights varying resource-accuracy profiles among the tested solutions.

Q-CTRL has successfully executed the Quantum Fourier Transform (QFT) on up to 100 qubits using a novel Convolutional Compilation Strategy, demonstrating the largest functional QFT on quantum hardware to date. This method eliminates routing overhead on linear nearest-neighbor topologies by leveraging identity cancellations and incorporating an ancilla qubit, resulting in a compact, translation-invariant kernel. The experimental execution on the IBM Heron R3 processor achieved significant process fidelity and consistent signal output, even at 100 qubits.

The German government has selected a QUDORA-led consortium for the €122 million NFQC-1k project to build a fault-tolerant trapped-ion quantum computer with at least 1,000 physical qubits. This five-year initiative aims to establish a semiconductor pilot line for high-performance quantum processing units and is a key milestone under Germany's High-Tech Agenda Deutschland, targeting the deployment of advanced quantum computers by 2030. QUDORA's Near Field Quantum Control (NFQC®) technology will be central to overcoming scaling barriers in quantum computing.

IonQ's Superion 256 quantum computer will be the first on-premise QPU at NVIDIA's Accelerated Quantum Research Center, integrating with NVIDIA's GB200 NVL72 accelerated computing rack via NVQLink. This collaboration aims to advance quantum-GPU architectures and hybrid software frameworks for applications in finance, materials science, and drug discovery, utilizing IonQ's EQC technology for scalable quantum computing.

Photonic Inc. and Microsoft are collaborating to integrate Photonic's distributed quantum computing models and QLDPC error correction algorithms into Microsoft's Quantum Resource Estimator. This partnership aims to provide researchers and developers with a more accurate way to model quantum algorithms for modular, multi-chip quantum computing systems, addressing limitations of current monolithic frameworks. The integration of Photonic's SHYPS QLDPC codes, which utilize optically linked silicon spin qubits, is expected to significantly reduce the physical-to-logical qubit overhead and account for inter-module optical latencies, offering a more realistic assessment of hardware requirements for future quantum applications.

By Mohamed Abdel-Kareem Most states compete for quantum companies by offering incentives. Maryland appears to be doing something in addition. It is building the infrastructure underneath the companies, so that each new arrival increases the value of the ones already there. The evidence has been accumulating for eighteen months. Originally, the announcements looked disjointed and unconnected. GQI now identifies a clear method to the madness. The Evidence January 2025: Governor Wes Moore proposed $27.5 million in the FY26 budget to launch the Capital of Quantum initiative, targeting $1 billion in total state, federal, and private investment over five years. IonQ was [...]

Yenepoya University and Edutecnicia (through REYRA AI) have partnered to establish a Quantum AI Catalyst Lab at Yenepoya School of Engineering & Technology (YSET) in Mangaluru. This collaboration aims to advance research, certification, and hardware development in Quantum Computing, Quantum AI, and Quantum-inspired AI, with a focus on creating FPGA-based hardware accelerators and medical AI models. YSET will also offer certification courses in QML and Quantum AI.

Cornell University researchers have achieved a breakthrough in trapped-ion cooling, using a standing-wave Electromagnetically Induced Transparency (EIT) scheme to cool ions 3.3 times faster than conventional methods. This technique, validated with Nullspace ES electrostatic simulation software, cooled all single-ion motional modes to near the quantum ground state within 150 microseconds. The development significantly reduces a major bottleneck in Quantum Charge-Coupled Device (QCCD) architectures and is supported by an open-source Python package for rapid experimental iteration.

Nanjing University researchers have demonstrated an Asynchronous Measurement-Device-Independent Quantum Cryptographic Conferencing (AMDI QCC) network, achieving a key generation rate with O(η) loss scaling, independent of user number. This innovation significantly enhances loss tolerance and eliminates the need for complex global phase locking, paving the way for scalable multi-party quantum communication.