Quantum computing

QC Ware Announces 2nd Q2B Paris Conference, Focusing on the Roadmap to Quantum Value in Europe

Retrieved on: 
Wednesday, February 21, 2024

PARIS, Feb. 21, 2024 /PRNewswire/ -- QC Ware, a leading provider of industry-disrupting quantum and quantum-inspired machine learning, and chemistry simulation solutions, today announced the second edition of its Q2B Paris Conference, presented in joint partnership with Bpifrance, to take place on March 7-8, 2024.

Key Points: 
  • The Paris conference, which will be held at the Pullman Paris Montparnasse, will dive deep into all major quantum technologies: computing, sensing, communications and security.
  • The conference is a collaborative effort between QC Ware and Bpifrance, France's public investment bank, which is committed to supporting innovation and investing in the country's most promising areas of technology.
  • "Co-hosting Q2B Paris with Bpifrance again was natural considering the great start we had here last year," said QC Ware CEO Matt Johnson.
  • Finally, several leaders charting the future of quantum technology adoption will deliver sessions on recent advancements in the field.

AI has a large and growing carbon footprint, but there are potential solutions on the horizon

Retrieved on: 
Friday, February 16, 2024

The emissions come from the infrastructure associated with AI, such as building and running the data centres that handle the large amounts of information required to sustain these systems.

Key Points: 
  • The emissions come from the infrastructure associated with AI, such as building and running the data centres that handle the large amounts of information required to sustain these systems.
  • But different technological approaches to how we build AI systems could help reduce its carbon footprint.
  • While large numbers of parameters improve the capabilities of ANNs, they also make training and inference resource-intensive processes.
  • In fact, our current estimates could be lower than AI’s actual carbon footprint due to a lack of standard and accurate techniques for measuring AI-related emissions.

Spiking neural networks

  • The previously mentioned new technologies, spiking neural networks (SNNs) and lifelong learning (L2), have the potential to lower AI’s ever-increasing carbon footprint, with SNNs acting as an energy-efficient alternative to ANNs.
  • To make accurate calculations, especially when multiplying numbers with decimal points together, the computer needs to be very precise.
  • This means ANNs become more energy-intensive as the networks get larger and more complex.
  • The key difference between the two types of neural networks is in the way individual neurons transmit information to each other.

Lifelong learning

  • Training ANNs sequentially (where the systems learn from sequences of data) on new problems causes them to forget their previous knowledge while learning new tasks.
  • ANNs require retraining from scratch when their operating environment changes, further increasing AI-related emissions.
  • L2 is a collection of algorithms that enable AI models to be trained sequentially on multiple tasks with little or no forgetting.


Shirin Dora does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

RocketStar Announces Newest SBIR Contract Win to Develop Low Probability of Interception Communication Software for the Military

Retrieved on: 
Wednesday, February 14, 2024

In December, RocketStar continued its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.

Key Points: 
  • In December, RocketStar continued its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.
  • In today’s increasingly contested space domain, ensuring secure and reliable communication during launch and throughout satellite operations is paramount.
  • Near-peer adversaries such as China and Russia have the capability to disrupt, detect, and infiltrate communication channels utilized for space operations.
  • "We are eager to apply our unique LPI software and advance RocketStar's efforts to help the DAF secure our nation."

SpeQtral Announces Distinguished Advisory Board to Propel Quantum Security Solutions

Retrieved on: 
Wednesday, February 14, 2024

SINGAPORE, Feb. 14, 2024 /PRNewswire/ -- SpeQtral, a leading quantum communications company, proudly announces the appointment of four prominent experts to its Advisory Board.

Key Points: 
  • SINGAPORE, Feb. 14, 2024 /PRNewswire/ -- SpeQtral, a leading quantum communications company, proudly announces the appointment of four prominent experts to its Advisory Board.
  • Celebrated as a pioneer in quantum cryptography, Prof. Artur Ekert has been an independent board member of SpeQtral since February 2022, and now assumes an additional role on SpeQtral's Advisory Board.
  • SpeQtral Co-Founder and CEO, Lum Chune Yang, expressed excitement about the Advisory Board, stating, "The collective expertise of SpeQtral's appointed Advisory Board members will be instrumental in driving the company's quantum communication technologies towards our vision of a global quantum fabric.
  • We are honoured to have such distinguished individuals shape our strategic vision and guide us through the dynamic landscape of quantum security solutions."

SpeQtral Announces Distinguished Advisory Board to Propel Quantum Security Solutions

Retrieved on: 
Wednesday, February 14, 2024

SINGAPORE, Feb. 13, 2024 /PRNewswire/ -- SpeQtral, a leading quantum communications company, proudly announces the appointment of four prominent experts to its Advisory Board.

Key Points: 
  • SINGAPORE, Feb. 13, 2024 /PRNewswire/ -- SpeQtral, a leading quantum communications company, proudly announces the appointment of four prominent experts to its Advisory Board.
  • Celebrated as a pioneer in quantum cryptography, Prof. Artur Ekert has been an independent board member of SpeQtral since February 2022, and now assumes an additional role on SpeQtral's Advisory Board.
  • SpeQtral Co-Founder and CEO, Lum Chune Yang, expressed excitement about the Advisory Board, stating, "The collective expertise of SpeQtral's appointed Advisory Board members will be instrumental in driving the company's quantum communication technologies towards our vision of a global quantum fabric.
  • We are honoured to have such distinguished individuals shape our strategic vision and guide us through the dynamic landscape of quantum security solutions."

Fujitsu and Delft University of Technology establish new quantum lab

Retrieved on: 
Thursday, January 25, 2024

TOKYO, Jan 25, 2024 - (JCN Newswire) - Fujitsu and Delft University of Technology today announced the establishment of the Fujitsu Advanced Computing Lab Delft at Delft University of Technology, an industry-academia collaboration hub dedicated to the development of quantum computing technologies.

Key Points: 
  • TOKYO, Jan 25, 2024 - (JCN Newswire) - Fujitsu and Delft University of Technology today announced the establishment of the Fujitsu Advanced Computing Lab Delft at Delft University of Technology, an industry-academia collaboration hub dedicated to the development of quantum computing technologies.
  • The Advanced Computing Lab will be established at world-leading quantum technology research institute QuTech (2) - a collaboration between Delft University of Technology and the Netherlands Organization for Applied Scientific Research (TNO) - and aims to accelerate R&D of diamond-spin quantum computing, a technology that Fujitsu and Delft University of Technology have been jointly researching since October 2020.
  • "Strengthening our collaboration with Delft University of Technology offers a chance to unlock new possibilities in quantum.
  • Main members include:
    - Dr. Shintaro Sato (Fellow SVP & Head of Quantum Laboratory at Fujitsu Research, Fujitsu Limited)
    - Kenichi Kawaguchi (Research Director, Quantum Hardware Core Project, Quantum Laboratory at Fujitsu Research, Fujitsu Limited)
    - Shinji Kikuchi (Senior Project Director, Quantum Application Core Project, Quantum Laboratory at Fujitsu Research, Fujitsu Limited)
    - Matthias Moller (Associate Professor, Faculty of EEMCS, Delft University of Technology)
    - Tim Taminiau ( Group Leader, QuTech, Delft University of Technology)
    - Ryoichi Ishihara (Associate Professor, QuTech, Faculty of EEMCS, Delft University of Technology)
    [1] Fujitsu Small Research Lab :An initiative to achieve greater breakthroughs beyond the results of ordinary joint research.

ORCA Computing Leaps Forward in Quantum Computing Race with Acquisition

Retrieved on: 
Tuesday, January 30, 2024

ORCA Computing , a leading quantum computing company, has announced the acquisition of the Austin, Texas-based Integrated Photonics Division of GXC.

Key Points: 
  • ORCA Computing , a leading quantum computing company, has announced the acquisition of the Austin, Texas-based Integrated Photonics Division of GXC.
  • In connection with the acquisition, ORCA Computing acquired photonics-related assets of GXC, including intellectual property and existing technology.
  • “ORCA Computing is positioning itself to face the challenges of effectively scaling quantum computing systems and leveraging low-loss integrated photonics smartly within their modular architectures.
  • "This strategic acquisition validates our choice of ORCA Computing, and we look forward to our collaboration as they evolve their forward-looking roadmap.”

Qubrid GPU Cloud Platform Early Access Available Immediately for Generative AI, LLM and Quantum Computing Simulations

Retrieved on: 
Tuesday, January 30, 2024

Qubrid, a leading GPU Cloud and Quantum Computing company announced immediate access to its leading hybrid GPU-QPU cloud computing platform focused at solving complex real-world problems.

Key Points: 
  • Qubrid, a leading GPU Cloud and Quantum Computing company announced immediate access to its leading hybrid GPU-QPU cloud computing platform focused at solving complex real-world problems.
  • The Qubrid Cloud Platform (QCP) shortens access to GPUs and QPUs making them accessible and programmable using an easy-to-use web interface.
  • The Qubrid platform is open now for developers, researchers and scientists to login and start working on AI/ML or Quantum Computing projects.
  • The platform is available for immediate login using below link:
    Pricing for on-demand GPUs and QPUs is available after logging in.

Xanadu and Hamad Bin Khalifa University (HBKU) provide PhD fellowship for quantum machine learning

Retrieved on: 
Tuesday, January 30, 2024

TORONTO and DOHA, Qatar, Jan. 30, 2024 /PRNewswire/ - Xanadu ( xanadu.ai ), a world leader in photonic quantum computing, will support Hamad Bin Khalifa University's (HBKU) Qatar Center for Quantum Computing (QC2) on a PhD fellowship in quantum machine learning .

Key Points: 
  • TORONTO and DOHA, Qatar, Jan. 30, 2024 /PRNewswire/ - Xanadu ( xanadu.ai ), a world leader in photonic quantum computing, will support Hamad Bin Khalifa University's (HBKU) Qatar Center for Quantum Computing (QC2) on a PhD fellowship in quantum machine learning .
  • The mission at Xanadu is to build quantum computers that are useful and available to people everywhere.
  • Boasting a team of more than 190 specialists and developers in quantum technology, Xanadu is at the forefront of advancing fault-tolerant quantum computing.
  • The center focuses on three dedicated research areas: quantum communication, quantum computation and quantum sensing.

Normal Computing Unveils the First-ever Thermodynamic Computer

Retrieved on: 
Tuesday, January 23, 2024

Normal Computing , a deep tech AI startup founded by former Google Brain and Alphabet X engineers to develop full-stack applications with enterprise reliability, today unveiled the world’s first thermodynamic computer.

Key Points: 
  • Normal Computing , a deep tech AI startup founded by former Google Brain and Alphabet X engineers to develop full-stack applications with enterprise reliability, today unveiled the world’s first thermodynamic computer.
  • And new approaches like with probabilistic AI add even more scaling complexity, particularly for GPUs, but may be thousands of times more efficient on a thermodynamic computer as indicated in Normal’s latest research paper.
  • The thermodynamic paradigm is more near term, relying on standard semiconductor fabrication and operating at room temperature.
  • Our goal is to unlock a step change in AI capabilities and efficiency through our novel thermodynamic stack,” said Patrick Coles, Chief Scientist at Normal Computing and former head of Quantum Computing at Los Alamos National Laboratory.