Mohamed Abdel-Kareem

About Mohamed Abdel-Kareem

Mohamed Abdel-Kareem is a Research Physicist at Global Quantum Intelligence, LLC, where he plays a pivotal role in tracking and synthesizing developments across the quantum computing industry. With a keen eye for detail, Mohamed specializes in gathering and analyzing quantum industry data, monitoring investment trends, and extracting critical insights from press releases and corporate announcements. His work provides high-level investors and stakeholders with accurate, unbiased, and actionable information on the latest advancements in quantum technologies, market dynamics, and strategic opportunities. Mohamed’s contributions have been instrumental in shaping the company’s quantum market research and strategic content. By maintaining a strong focus on technical accuracy and vendor neutrality, he ensures that the insights delivered are both reliable and relevant to the rapidly evolving quantum ecosystem. His expertise supports decision-makers in navigating the complexities of the quantum industry, enabling them to make informed, data-driven choices.

China Demonstrates Quantum-Assisted Fine-Tuning of Billion-Parameter AI Model

2025-04-07T13:13:56-07:00

Researchers at the Anhui Quantum Computing Engineering Research Center have completed the world’s first fine-tuning of a billion-parameter AI model using a superconducting quantum computer. The experiment ran on Origin Wukong, China’s third-generation superconducting quantum system, powered by a 72-qubit chip developed domestically. The quantum processor executed large-scale parallel quantum tasks to accelerate fine-tuning, yielding improved performance on both psychological dialogue and mathematical reasoning benchmarks. The study showed that even after reducing model parameters by 76%, training effectiveness increased by 8.4%, and accuracy on a math reasoning task rose from 68% to 82%. The results suggest quantum resources can complement classical [...]

China Demonstrates Quantum-Assisted Fine-Tuning of Billion-Parameter AI Model2025-04-07T13:13:56-07:00

Bosch and Element Six Form Joint Venture for Quantum Sensing Commercialization

2025-04-07T12:38:22-07:00

Bosch and Element Six, a synthetic diamond manufacturer under De Beers Group, have announced a joint venture to accelerate the commercialization of diamond-based quantum sensors. Element Six will take a 25% stake in Bosch Quantum Sensing, which was originally formed in-house by Bosch in 2022 and currently employs 30 staff in Ludwigsburg, Germany. The joint venture builds on a development collaboration between the companies initiated in 2023. The sensors rely on engineered synthetic diamonds to detect extremely weak magnetic fields, a key requirement for precision sensing in fields such as medical diagnostics, inertial navigation, and resource exploration. Bosch will integrate the [...]

Bosch and Element Six Form Joint Venture for Quantum Sensing Commercialization2025-04-07T12:38:22-07:00

Remote Access to Quandela’s 12-Qubit Photonic System Now Available via EuroQCS-France

2025-04-05T09:22:33-07:00

The EuroQCS-France consortium, led by GENCI and CEA, has enabled remote access to a 12-qubit photonic quantum processor developed by Quandela. This system, now available to European researchers, is architecturally aligned with the forthcoming Lucy system to be deployed at TGCC (Très Grand Centre de Calcul), CEA’s computing center, by the end of 2025. Early access allows users to begin running applications on real hardware using Quandela’s Perceval programming environment. The initiative builds on a previous deployment of a 6-qubit system and was facilitated by EuroHPC JU’s selection of Quandela and attocube systems AG as the technology providers for EuroQCS-France. Application [...]

Remote Access to Quandela’s 12-Qubit Photonic System Now Available via EuroQCS-France2025-04-05T09:22:33-07:00

Australian Government Leads $20M AUD ($12.08M USD) Round in QuintessenceLabs to Advance Quantum-Resilient Cybersecurity

2025-04-05T11:09:29-07:00

The Australian government has invested $15 million AUD ($9.06 million USD) in Canberra-based QuintessenceLabs through the National Reconstruction Fund (NRF), leading a $20 million AUD ($12.08 million USD) funding round. The investment is intended to support domestic manufacturing, international expansion, and continued development of the company’s quantum-resilient cybersecurity technologies. This is the NRF’s eighth investment to date, and its second in quantum technology, following a $13 million AUD ($7.85 million USD) investment in Quantum Brilliance in December 2024. QuintessenceLabs produces both hardware and software for encryption systems based on quantum physics, including quantum random number generators (QRNGs) and secure key management [...]

Australian Government Leads $20M AUD ($12.08M USD) Round in QuintessenceLabs to Advance Quantum-Resilient Cybersecurity2025-04-05T11:09:29-07:00

SandboxAQ Raises $450M in Series E with Backing from Google, NVIDIA, BNP, Ray Dalio

2025-04-04T20:11:29-07:00

SandboxAQ has closed a $450 million Series E funding round, bringing its total capital raised to over $950 million since its 2022 spinout from Alphabet. New investors include Google, NVIDIA, BNP Paribas, Ray Dalio, and Horizon Kinetics, alongside existing backers such as Breyer Capital, T. Rowe Price, Paladin Capital, and Eric Schmidt. The round strengthens SandboxAQ’s position in building enterprise platforms that integrate AI and quantum techniques. At the core of its offering are Large Quantitative Models (LQMs), a class of AI models trained on physics, chemistry, and mathematics rather than text or language. These models are designed to simulate and [...]

SandboxAQ Raises $450M in Series E with Backing from Google, NVIDIA, BNP, Ray Dalio2025-04-04T20:11:29-07:00

QuTech Demonstrates Enhanced Majorana Stability in Three-Site Kitaev Chain

2025-04-04T12:18:58-07:00

An international team led by QuTech has demonstrated a three-site Kitaev chain built from quantum dots in a hybrid InSb/Al nanowire. Compared to two-site versions, the extended device showed significantly improved stability of zero-energy Majorana modes (MZMs), attributed to suppressed mode overlap and reduced sensitivity to local perturbations. The chain satisfies key conditions of the Kitaev model, with spinless fermions coupled through superconducting pairing and electron hopping. Fabrication involved electrostatic gating to define three quantum dots, which were coupled via superconducting segments to emulate a topological chain. Earlier results from two-site configurations exhibited unstable MZMs, dubbed “poor man’s Majoranas.” By scaling [...]

QuTech Demonstrates Enhanced Majorana Stability in Three-Site Kitaev Chain2025-04-04T12:18:58-07:00

Albert Einstein Jewish Brazilian Hospital Launches Quantum Initiative for Health and Climate Applications

2025-04-04T20:28:24-07:00

The Albert Einstein Jewish Brazilian Hospital in São Paulo has initiated a quantum computing research program to support pharmaceutical development, genomics, and diagnostic innovation. The project is led by UNESP professor Felipe Fanchini and aims to establish a dedicated quantum group within the hospital’s research center, leveraging quantum methods to address biomedical problems through collaboration across physics, engineering, and data science. The initiative includes a partnership with the startup QuaTI, co-founded by Fanchini, which is applying hybrid quantum-classical machine learning and optimization algorithms to model extreme weather conditions. A prototype rainfall data station has been deployed in São Carlos, Brazil, as [...]

Albert Einstein Jewish Brazilian Hospital Launches Quantum Initiative for Health and Climate Applications2025-04-04T20:28:24-07:00

Cleveland Clinic Explores Hybrid Quantum-Classical Model for Predicting Proton Affinities

2025-04-04T11:42:11-07:00

Researchers at the Cleveland Clinic have developed a hybrid quantum-classical machine learning model to predict proton affinities (PAs) of molecules with improved efficiency and competitive accuracy. The model, described in the Journal of Chemical Theory and Computation, integrates classical molecular descriptors with quantum circuits serving as feature encoders, offering a practical approach compatible with current noisy intermediate-scale quantum (NISQ) hardware. The team trained classical ensemble models on over 1,100 molecules using a feature set of 186 descriptors, achieving a mean absolute error (MAE) of 2.47 kcal/mol—within experimental uncertainty. To reduce complexity, they encoded subsets of these features into quantum states using [...]

Cleveland Clinic Explores Hybrid Quantum-Classical Model for Predicting Proton Affinities2025-04-04T11:42:11-07:00

Switzerland Expands Export Controls to Include Quantum Technologies, Aligning with U.S. and EU Measures

2025-04-04T11:27:44-07:00

Switzerland has announced it will broaden its export controls to encompass a range of dual-use emerging technologies, including quantum computing, artificial intelligence, semiconductors, and additive manufacturing. The move is intended to align Swiss export policies with international standards and reflects growing global concern over the potential military and national security applications of quantum and other advanced technologies. The government plans to issue a detailed list specifying the controlled items in the near future. The decision follows similar regulatory steps taken by the United States and the European Union. In September 2024, the U.S. Commerce Department’s Bureau of Industry and Security (BIS) [...]

Switzerland Expands Export Controls to Include Quantum Technologies, Aligning with U.S. and EU Measures2025-04-04T11:27:44-07:00

IBM Releases Qiskit SDK v2.0 with C API and Major Performance Upgrades

2025-04-04T11:34:51-07:00

IBM has launched Qiskit SDK v2.0, a major update that introduces foundational changes to the quantum software stack, including the first version of a C-language API, deeper integration of Rust-based internals, and removal of legacy components. The release aligns with Qiskit’s 18-month major version support cycle and reflects IBM’s strategic effort to enhance performance, improve interoperability with high-performance computing (HPC), and simplify the development of quantum-classical hybrid applications. A key feature of v2.0 is the new C API for constructing and manipulating SparseObservable objects. This early-stage interface allows C programs to interface directly with Qiskit data structures and is part of [...]

IBM Releases Qiskit SDK v2.0 with C API and Major Performance Upgrades2025-04-04T11:34:51-07:00
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