Special Competitive Studies Project SCSP News

The High-Level, Bipartisan Commission on U.S. Quantum Primacy (CUSP) was established by the Special Competitive Studies Project (SCSP) to develop a national strategy to maintain the US's leadership in the rapidly accelerating quantum competition. As quantum technologies move from theory to practice, experts warn that the window for a long-term advantage is shrinking. This new program aims to close the innovation-national might gap to ensure that quantum technology improves American economic power and national security.

A Bipartisan Leadership Coalition

The 14-member committee brings together top technology and security experts and officials. Three co-chairs lead CUSP: Senator Ben Ray Luján (D-NM), Senator Todd Young (R-IN), and SCSP President Ylli Bajraktari.

The commission includes prominent academics, government labs, and industry leaders:

Industry Leaders: Dr. Jay Gambetta (Director of Research and IBM Fellow, IBM), Jack Hidary (CEO, SandboxAQ), Niccolo de Masi (Chairman and CEO, IonQ), and Hartmut Neven.

Dr. Whitney Mason (DARPA Microsystems Technology Office Director), Dr. Thomas Mason (Los Alamos National Laboratory Director), and Laura McGill (Sandia National Laboratories Director).

Research and Investment: Pat Gelsinger, General Partner, Playground Global; Dr. Mit Jha, CEO, Quantum Corridor; Dr. Megan Anderson, Executive VP of Technology, IQT; and Dr. Gretchen Campbell, University of Maryland Associate VP for Quantum Research and Education

The Three Strategic Pillars

CUSP has three main goals to preserve a “center of gravity” for the quantum revolution:

Building a Secure Quantum Industrial Base: The commission will focus on building a resilient ecosystem with a strong talent pipeline, hardware manufacturing capabilities, and secure supply chains to maintain a technological advantage.

Keep Information Advantage: Mission-critical algorithms, systems, and protocols will be prioritized. This pillar protects information flows to sustain the country's data processing and security leadership.

Accelerating Integration and Hybridization: Since quantum technology cannot work in a vacuum, CUSP combines quantum and conventional technologies. Finding short-term deployments that give the US an operational edge over competitors is part of this. National Power Landscape

Ylli Bajraktari calls quantum technology a “fundamental shift in the landscape of national power” rather than just quantum computing. He said CUSP would provide the roadmap to ensure this shift benefits the free world. Senator Todd Young agreed, saying that while America has the “talent and ingenuity” to lead, strategic rivals are responding quickly. Recent sources note that China's new five-year plan seeks to expand AI and reach quantum leadership, necessitating the US to accelerate its own development.

Senator Ben Ray Luján said that New Mexico, home to multiple national laboratories, is leading quantum research. He promised to capitalize on that momentum for a strong national agenda.

Path to Policy Recommendations

The Commission will produce a policy report with national leadership recommendations. This report will evaluate the US quantum ecosystem to ensure that the US defines and contributes to the quantum era.

As emerging technologies like artificial intelligence affect national security, the economy, and society, the SCSP, the commission's parent organization, is a nonpartisan, nonprofit organization dedicated to boosting America's long-term competitiveness

Quantum Market Context

The quantum industry was busy when CUSP was introduced. Recent field advances include:

Quantum Computing Inc. is finalizing its NuCrypt acquisition and reporting increased revenues and operating costs.

QuSecure's SBIR TACFI cryptographic resilience award highlights the relentless pursuit of quantum-secure systems.

Poland's SKKU has inked memorandums of understanding with Classiq Technologies to study quantum algorithms for satellite pictures.

Scientific Advancements: Researchers created a half-twist molecular Möbius strip to demonstrate deep-tech innovation alongside policy advances.

Leclercq American Capital LLC announced a large strategic equity investment in SandboxAQ, highlighting the rapidly changing global technology investment landscape. This support is vital as quantum technologies and artificial intelligence (AI) move from theoretical investigations to widespread implementation. The investment shows institutional confidence in systems that can solve some of industry's biggest concerns, from quantum-enabled attacks to molecular discoveries.

Rising “Horizontal Technology Platform”

As a horizontal technological platform, SandboxAQ stands out from quantum hardware startups. Thus, the organization is not a “narrowly focused quantum specialist,” but rather a B2B software solution provider for several industries. SandboxAQ, at the intersection of AI and quantum physics, can benefit global banking, healthcare, and aerospace.

This platform relies on strong quantitative and physics-based models. These models can simulate complex atomic and molecular processes, providing insights that traditional computing cannot. SandboxAQ provides resources to help companies and researchers unlock the next wave of the "Quantum Revolution" by closing the gap between classical limits and quantum technology's potential.

Fortifying the Digital Frontier: Post-Quantum Cybersecurity

SandboxAQ addresses several serious challenges, including the growing threat of quantum computing to digital infrastructure. Large organizations must act rapidly to fight the "quantum threat"—the likelihood that full-scale quantum computers will break encryption standards even though they are still being developed.

SandboxAQ's quantum-resistant cryptography solutions let enterprises defend their infrastructure before these threats arise. Their strategy has several essential steps:

Cryptographic Discovery and Inventory: Finding cryptography's uses and locations in a global IT context.

Risk Assessment: Identifying quantum algorithms vulnerable to quantum assaults and assigning remedial priorities based on evolving global standards. Migration orchestration helps large companies transition to safe, post-quantum standards. This strategy relies on “crypto-agility.” Crypto-agility allows a corporation to easily change its security procedures without rewriting its IT architecture in a world where cryptography standards and security legislation change.

Finding Your Way Without GPS

Leclercq American Capital invested in SandboxAQ's next-generation sensing and navigation capabilities. Logistics and aerospace are at risk from GPS dependence, especially in “GPS-denied environments” where signals may be lost or obstructed.

SandboxAQ creates navigation solutions without satellite data utilizing advanced simulation and quantum-inspired signal analysis. This technology enables drones, self-driving cars, and sophisticated logistics networks the exact timing and position they need to operate securely and successfully in any scenario.

Future Simulation: Healthcare and Materials Science Besides navigation and security, SandboxAQ's physics-based models improve reality's core components. The company uses cutting-edge simulation to improve medical diagnostics and accelerate life sciences and healthcare treatment development. Modeling drug-human quantum biology interactions can help scientists uncover intriguing candidates faster than previously.

Chemistry and materials science share computers. SandboxAQ helps companies design:

Support green energy with better batteries. Innovative industrial catalysts. Atomically synthesized compounds for specific performance.

Making the World Economy Better

The financial services business is another SandboxAQ frontier. Traditional financial models often struggle to account for today's complex and volatile global markets. SandboxAQ provides advanced quantitative scenario analysis, risk management, and portfolio optimization models. Quantum-inspired algorithms can assist financial institutions understand market dynamics and manage risks and consumer returns.

High-Impact Investment Vision

Supporting SandboxAQ shows Leclercq American Capital LLC's long-term focus on high-impact technological platforms. By emphasizing advanced modeling, cybersecurity, and sensing, the company is leading the next technology revolution.

The “Official Quantum Dog” of the quantum news industry says quantum inhabits a “special space” literally, a Hilbert space that is vital for solving the world's most “intractable problems” while robotics and AI are generating headlines.

Bahrain leads the world's quantum-safe economic transition in a historic cybersecurity accord.

Bahrain National Cyber Security Centre, SandboxAQ

NCSC's strategic partnership with SandboxAQ puts Bahrain at the forefront of the global fight for future-proof digital security. This historic alliance aims to make Bahrain one of the first nations to deploy post-quantum protection by building a national cybersecurity modernisation framework.

The partnership seeks a quantum-safe Kingdom economy. Bahrain will protect its vital systems, infrastructure, and data from quantum computing with SandboxAQ's cutting-edge AI and quantum-resistant technology.

Running Against “Q-Day”

This research is imminent because “Q-Day”—when cryptographically relevant quantum computers (CRQCs) can break encryption standards—is imminent. CRQCs may be possible by 2029, according to current forecasts, but experts previously thought this was far off.

The threat goes beyond possibility. We know “harvest-now, decrypt-later” assaults are increasing. As quantum technology progresses, attackers will steal and store encrypted data to decrypt it later. This might reveal defence information, diplomatic cables, confidential communications, and national identification documents that Bahrain has kept for decades, raising the stakes.

Realising the Post-Quantum Era

Bahrain's defence plan requires SandboxAQ's AQtive Guard platform. This AI-powered system was designed for the difficult post-quantum cryptography (PQC) transition. Platform vulnerabilities caused by inadequate encryption can be seen, assessed, and fixed by the National Cyber Security Centre Bahrain.

This deployment aims to stop AI agents and NHIs from spreading quickly. Automated digital environments require controlling these non-human species for security. With its implementation across over 60 ministry environments across the Kingdom, the AQtive Guard platform will provide cryptographic control that is rare in national cybersecurity.

He excels Shaikh Salman bin Mohammed Al Khalifa, CEO of the National Cyber Security Centre Bahrain, called the collaboration a “significant milestone” in defending digital assets and intellectual property from internal and external threats. He stated that these technologies will launch a new age of security and economic progress in the Kingdom.

Setting a Regional Standard

The partnership provides a dynamic framework that allows Bahrain to adapt to new cryptographic threats beyond software updates. Mohammed Aboul-Magd, SandboxAQ's vice president of product, praised Bahrain for “operationalizing” the technology rather than just setting policies. This proactive strategy should set a new cyber resilience benchmark in the Middle East.

This project is essential to Bahrain's long-term goal for safe digital transformation and economic stability. SandboxAQ is a founding member of the UNICC AI Hub on Post-Quantum Cryptography, bringing international expertise to Manama to protect the Kingdom's most sensitive private and public sector systems.

Lineage of SandboxAQ

SandboxAQ is a growth-backed Alphabet Inc. spinoff. Using Large Quantitative Models (LQMs), it advances materials science and biological sciences by combining AI and quantum approaches.

The company's strategic partnership with NVIDIA and other investors shows its stability and power. Ray Dalio, Marc Benioff, Eric Schmidt, and BNP Paribas, Paladin Capital, and T. Rowe Price Associates funds are examples.

Physics-Native Revolution: Large Quantitative Models Change Drug Discovery Rules

LQM Large Quantitative Models

Pharmaceutical research is predicted to shift from trial-and-error experimentation to highly accurate computer simulation by 2025. The “10-10” rule dominated the biopharmaceutical industry for decades: 90% of proposals failed in human trials, and it took 10 years and $2.5 billion to get a medication to market. Large Quantitative Models (LQMs), a new type of artificial intelligence, are overcoming these challenges and paving the way for more efficient and sustainable healthcare.

Beyond Pattern Matching: LQMs Rise

The public is familiar with Large Language Models (LLMs) that predict the next word in a phrase, but LQMs are a new field of artificial intelligence. For rare diseases, text-based pattern matching and historical scientific literature may be poor or nonexistent, while LQMs are “physics-native”.

Training these models begins with physics, chemistry, and molecular biology equations. LQMs simulate subatomic interactions of molecules and proteins in real time rather than guessing from past data. This enables researchers to study over 10^{60} molecules, unlike physical “wet-lab” testing. Combining chemical structures with experimental data like the 5.2 million-structure SAIR dataset, LQMs can estimate drug binding affinity in seconds.

Case Study: Accelerating the Impossible

A landmark partnership between SandboxAQ and UCSF shows how this technology is being used. UCSF researchers under Nobel laureate Dr. Stanley Prusiner were studying neurodegenerative illnesses including Parkinson's, where conventional drug development has failed.

Using standard methods, UCSF researchers estimated in 2024 that a promising Parkinson's treatment would reach clinical trials in 2031. The scientists used AQBioSim to go from brute-force screening to advanced computer simulations. This improvement allowed them to analyse millions of molecules per month, reducing years to months. As global health issues deteriorate, this acceleration is significant since Parkinson's cases are expected to rise 112% by 2050 and Alzheimer's cases by 78 million by 2030.

Total R&D Pipeline Transformation

LQMs treat rare disorders, genetic diseases, and cancer in addition to neurodegeneration. In 2025, R&D saw many major shifts:

Target Identification: AI predicts disease-associated protein three-dimensional structures 97% accurately.

Generative AI creates novel molecules. Rentosertib entered Phase II clinical trials 18 months after artificial intelligence identified the target and chemical.

Safety and Toxicity: DeepTox reduces animal testing by predicting medicine absorption and toxicity with 95% accuracy.

Digital Twins: Researchers are testing drugs on virtual patient replicas before human enrolment to stratify patient groups and personalise therapy.

Economic Impact and Regulatory Change

Using these models is a scientific and economic priority. Manufacturers often raise prescription prices to recover costs from failed efforts. Through in silico (computer) screening, LQMs could lower drug prices and fund therapies for underserved or small patient populations by saving billions in R&D.

Regulatory agencies are also changing. The FDA is gradually replacing animal testing with AI-generated data for monoclonal antibodies and other therapeutic classes. Due to this trend, the AI in drug discovery market is predicted to grow 30% yearly to $6.89 billion by 2029.

Managing Challenges: The “Black Box” Issue

Despite hope, challenges remain. Due to their low explainability, many deep learning models are “black boxes” that hide prediction logic from researchers and regulators. Biassed or inconsistent datasets can lead to unreliable AI results. Tech developers and organisations like the FDA must collaborate to safely integrate new models into conventional regulatory systems.

Conclusion: A New Medical Blueprint

Large Quantitative Models represent a paradigm shift from unsustainable, broken systems to “research-tech” models. These physics-native techniques are overcoming data sparsity and high failure rates to accelerate and improve healthcare.

MapLight Therapeutics News

SandboxAQ and MapLight Therapeutics (Nasdaq: MPLT) established a collaborative cooperation to find and develop first-in-class CNS diseases medicines, transforming neuropsychiatric medicine. With circuit-specific neuroscience, high-fidelity molecular simulation, and cutting-edge AI, the cooperation takes a bold move towards solving brain health's biggest concerns.

The arrangement involves an upfront payment to SandboxAQ and possible $200 million milestone payments in addition to future royalties.

An Innovative CNS Treatment

For decades, drug development for CNS diseases like schizophrenia, autism, and Parkinson's has failed and yielded ambiguous outcomes. Traditional methods sometimes use broad-spectrum methods that harm numerous brain regions.

MapLight Therapeutics was founded to combat this “circuit-blind” approach. MapLight aims to identify disease-causing neural circuits to design treatments that don't affect brain function. About one-third of FDA-approved drugs target a unique G protein-coupled receptor (GPCR), a cell surface protein. This new alliance targets it.

SandboxAQ's AQBioSim platform drives this partnership. SandboxAQ, a spinoff of Alphabet Inc., uses “Large Quantitative Models” (LQMs) to go beyond standard AI using high-performance computers and quantum physics.

SandboxAQ's simulation-first approach lets researchers predict molecular interactions from scratch, unlike typical AI models that use existing data. In the MapLight cooperation, SandboxAQ will employ these models:

Examine Receptor Structure: Map the target GPCR's complex three-dimensional shape and function with atomic-level accuracy.

Predict Interaction: Virtually explore millions of chemicals to detect receptor binding.

Improve Drug Properties: Ensure chemical structures are safe, effective, and blood-brain barrier-crossing.

Andrea Bortolato, SandboxAQ's vice president of drug development, said, “Our platform allows a systematic, data-driven exploration of chemical space that has eluded traditional approaches.” By speeding up the DMTA cycle, the companies hope to reach clinical trials years sooner than traditional pharmaceutical timelines.

Contract Terms

The strategy structure divides preclinical research across both companies. MapLight provides CNS biology and clinical validation expertise, while SandboxAQ models and selects the best therapeutic candidates.

After finding a candidate, MapLight Therapeutics will develop and commercialise them alone. MapLight can use its clinical infrastructure to bring these new medications through the FDA's rigorous approval process.

Innovative Leaders

This partnership unites two “Quantum and AI” titans. According to MapLight Chief Scientific Officer James Lillie, the target GPCR has been validated using MapLight's proprietary platform, making it possible for SandboxAQ's AI to accelerate.

The recent public listing of MapLight (Nasdaq: MPLT) and SandboxAQ's development into life sciences highlight a larger trend: biology and technology converging. This partnership reinforces SandboxAQ's LQM leadership and expands on their past successful relationships with world health leaders.

Patients Should Care

About one billion people worldwide have CNS diseases. James Lillie's “unmet need” is the millions of people who have no treatment alternatives or suffer from debilitating drug side effects.

Its uniqueness gives this cooperation potential. If SandboxAQ's simulations uncover a molecule that binds to a sick circuit's GPCR, the treatment may be safer and more effective than current options.

Looking Ahead

This partnership shows how quantum-inspired technology are benefiting society as the “International Year of Quantum” ends. The $200 million milestone sum shows the deal's financial potential, but the scientific shift from “hit-or-miss” drug development to “predictive” molecular engineering might transform biotech in ten years.

A five-year contract between SandboxAQ and the Department of War CIO implements post-quantum cyber defence.

DoW CIO and SandboxAQ

The Department of War (DoW) CIO and SandboxAQ, a leader in AI and cybersecurity solutions and a quantum-AI company, announced a five-year cooperation. This partnership intends to improve DoW cyber resistance by implementing post-quantum cryptography (PQC) standards and cyber defence approaches.

The agreement's main goal is to modernise the DoW's cybersecurity processes and ensure that defence systems can withstand quantum computing and advanced AI threats. Quantum computing may damage RSA and ECC, two prominent public-key encryption methods. The new alliance boosts cyber readiness against complex threats and begins a PQC transition.

AI Threats and Quantum Imperative Rising pressure on federal agencies to update security prompted the purposeful modernisation of cybersecurity infrastructure. Due to the complexity and intensity of attacks, the DoW CIO must prioritise post-quantum security to improve preparedness. The deal addresses the severe “store now, decrypt later” threat, in which adversaries amass sensitive data now to use a powerful quantum computer to decrypt it later.

Quantum computers may undermine cryptography by 2029, according to warnings. Gartner says that quantum computing will make traditional cryptography unsafe by 2029, making the switch to PQC urgent for organisations. Federal agencies must use quantum error-resistant, NIST-authorized encryption methods and algorithms under this agreement and National Security Memorandums.

Implementing AQtive Guard: Strategy and Method

The DoW CIO will employ SandboxAQ's AQtive Guard platform to locate and catalogue cryptographic assets faster. This project provides comprehensive, automated cryptographic discovery and inventory across its platforms.

Identifying and inventorying all DoW cryptographic assets is a crucial initial step in a planned PQC transition. AQtive Guard provides real-time cryptographic asset, dependency, and vulnerability visibility. This centralised cryptographic security platform helps organisations manage assets and anticipate and prevent future threats like AI-powered attacks.

The migration plan uses the AQtive Guard platform's crypto-agile framework to gradually replace public-key encryption with quantum-resistant algorithms. After SandboxAQ's quantum-resistant cryptography prototype project with the Defence Information Systems Agency's (DISA) QRC PKI program was successful, the DoW deployed it.

Future vision and government commitment

SandboxAQ CEO Jack Hidary said the DoW CIO is dedicated to improving its cybersecurity protocols, highlighting the relationship. Hidary said the arrangement shows the government's commitment to developing cryptographic standards to resist AI and quantum threats.

To brace for the long-term danger to traditional encryption from enemy cyber capabilities, the DoW CIO is prioritising post-quantum security. AQtive Guard will be available to other DoW agencies through the agreement, allowing them to assess their cryptographic footprint across the department. SandboxAQ enjoyed assisting the DoW CIO keep defence systems resilient, interoperable, and agile.

DIU Field Tests Quantum Sensing Technology in Five Critical Areas

Defense Innovation Unit news

The Defence Innovation Unit announced a partnership with SandboxAQ to develop magnetic navigation technology for GPS-denied settings.

The Defence Innovation Unit (DIU) Transition of Quantum Sensing (TQS) program is entering field testing to demonstrate the military value of cutting-edge quantum sensors to improve strategic Joint Force capabilities like anomaly detection and Positioning, Navigation, and Timing. In conjunction with the Office of the Under Secretary of Defence Research & Engineering for Quantum (OUSD(R&E)-Quantum) and service partners, the TQS program went from strategy to supplier selection and awards in six months after its summer 2024 debut.

Quantum sensors promise greater precision, accuracy, and sensitivity than classical sensors, with scientific and economic advances. These solutions are ready for field testing.

QS plan subject matter experts and operational stakeholders from throughout the DoD were incorporated in under six months.

The initial phase of the 12-month TQS program will include over 10 field testing of quantum sensing applications in DoD contexts such ground, air, and maritime domains.

SandboxAQ announced a relationship with the Department of War (DoW) Defence Innovation Unit (DIU) for its Transition of Quantum Sensing (TQS) program today. The purpose is to quickly develop and test cutting-edge Magnetic Anomaly Navigation (MagNav) technology for US military autonomous systems.

The TQS program, managed by DIU's Emerging Technologies portfolio, accelerates commercial quantum sensing technology deployment to ensure Positioning, Navigation, and Timing (PNT) resilience in the event of GNSS signal failure or blockage. As part of the TQS initiative, SandboxAQ will employ its dual-purpose AQNav software to deliver dependable, robust navigation without outside signals. SandboxAQ will generate a large dataset to compare results to DoW use-cases and demonstrate AQNav's practicality.

Five main efforts

The TQS program's five interconnected lines of action aim to improve strategic and operational abilities in areas without a comparable program.

Quantum inertial sensors: Without GPS, these sensors maintain orientation, position, and location using linear and angular accelerations. This project focusses on Air Force, Space Force, and Navy marine platform use cases. Several Combatant Commands including Air Force Global Strike Command support next-generation PNT.

To improve precision and stability, TQS is developing atom interferometry to measure rotation and acceleration using the wave-like behaviour of atoms. Another way is to detect motion by observing noble gas nuclei's magnetic moment shift in a polarising magnetic field.

Inertial sensors evolve into quantum gravimeters, which monitor acceleration to detect local gravity effects. This modality is useful for gravity anomaly navigation and land surveying. The U.S. Navy is interested in gravity-assisted maritime navigation. This quantum variant extracts acceleration from Earth's gravity utilising laser-manipulated atoms as free-falling masses. These atomic systems offer exceptional stability that creates new maritime operational zones, according to ONR Program Manager Dr. Tommy Willis.

TQS uses magnetometers for navigation and anomaly detection to sense minute magnetic field changes. Magnetic field strength and gradient can identify dangerous items or travel in GPS-free environments.

MagNav: When GPS is unavailable, small shifts in the Earth's magnetic field can operate as an aircraft's natural navigation signal. Dr. Kevin Brink, Section Chief for Navigation at the AFRL Munitions Directorate, believes MagNav's compact and inexpensive quantum sensors could support dependable and affordable DoD navigation. Technology insertions, component development: This research develops components to make quantum sensor systems lighter, smaller, and more resilient. ICs for photonics, chip-scale lasers, and controlling electronics are created.

Quantum technology relies on microelectronics and sophisticated materials, according to OUSD(R&E) Principal Director of Quantum Science Dr. John Burke. Funding these parts is necessary to create a quantum technology ecosystem that can be incorporated into several DoD platforms.

Cooperating and Looking Ahead

Due to the TQS program's competitive request, many performers received Other Transaction (OT) agreements. AOSense, QuSpin, SandboxAQ, Vector Atomic, Lockheed Martin, Northrop Grumman, Honeywell, Leidos, Anduril, and other notable firms and startups do well.

LtCol Estep said DIU encouraged partnerships with startups, conventional defence contractors, and non-traditional DoD solution vendors. The acquisition strategy included sensor, software, and platform manufacturers for prototypes that covered the ultimate product.

Mumtalakat Holding Company News

Bahrain Leads Biotech: Mumtalakat and SandboxAQ Sign $1 Billion Partnership

Bahrain Mumtalakat Holding Co. BSC(c) (“Mumtalakat”) and AI and quantum technology pioneer SandboxAQ team up to change the economy. This collaboration intends to advance Bahraini biotech.

Using AI in Drug Discovery

Bahrain licensed SandboxAQ's specialist software and cutting-edge quantitative AI capabilities to build this alliance. This technique will identify targets and develop new medicines.

Through biotech asset creation, this advanced alliance is estimated to generate over $1 billion in value for the Kingdom. The strategic plan will also develop Bahrain as a regional biotech hub.

This complex project is managed by a joint research committee. This organisation will oversee a three-year endeavour to develop new, high-quality drugs. Developing these IP assets is the partnership's goal.

HE Mumtalakat CEO Shaikh Abdulla bin Khalifa Al Khalifa called the SandboxAQ partnership “significant milestone” and groundbreaking. He said the deal promotes Mumtalakat's goal of economic growth and health improvement in Bahrain. Bahrain's indigenous resources and SandboxAQ's expertise in AI and LQMs are laying the framework for a new age of health sector innovation that will boost economic growth in the Kingdom.

SandboxAQ CEO Jack Hidary was proud of the Bahrain-Mumtalakat relationship. Mr. Hidary says the alliance aims to create a new biotech economy based on IP. He claimed the alliance would employ AI to speed up drug research, demonstrating its potential. The cooperation should also attract more capital to the Kingdom.

Growing and Diversifying Wealth with Mumtalakat The strategic decision fits Mumtalakat's overall goal of expanding, improving, and optimising its portfolio. This strategy seeks long-term financial rewards for the Kingdom.

The Kingdom of Bahrain's sovereign wealth fund is Mumtalakat. Its sole purpose is to increase Bahrain's wealth through sound financial, strategic, and governance initiatives.

The sovereign wealth fund owns around 50 businesses. The investing portfolio spans economic sectors. These include industrial manufacturing, a major financial source. Mumtalakat also invests in banking and communications. The portfolio comprises logistics and real estate to expand. Consumer items, healthcare, and education are also included.

Quantum and AI Collide in SandboxAQ

SandboxAQ is a B2B company that provides cutting-edge AI and quantum technologies. It uses innovative Large Quantitative Models (LQMs). These LQMs are crucial since they advance many complex domains.

SandboxAQ's technology can promote biological sciences, which is relevant to the recent Mumtalakat partnership. In addition, LQMs support navigation, financial services, and other essential economic sectors.

SandboxAQ has a notable history as a separate company from Alphabet Inc. The growth-backed company has received financing from top investors and business partners. T-recommended funds and accounts are potential funding sources.

Associates Price Rowe, Inc. Alger, US Innovative Technology Fund, and IQT are prominent investors.

BNP Paribas, Paladin Capital, and S32 fund. SandboxAQ growth depends on individual investors and strategic partners. These include Ray Dalio, Thomas Tull, Yann LeCun, Breyer Capital, Marc Benioff, and Eric Schmidt.