Top related persons:
Top related locs:
Top related orgs:

Search resuls for: "Rigetti"


8 mentions found


June 7 (Reuters) - Chad Rigetti, the founder of Rigetti Computing (RGTI.O), joined quantum technology-focused fund QDNL Participations as a partner, the venture capital firm said on Wednesday. Rigetti Computing started trading on Nasdaq in March 2022 after a merger with a blank-check company. Rigetti left the quantum computing firm backed by Y Combinator and Andreessen Horowitz late last year. Backed by Europe-based Quantum Delta NL foundation, QDNL Participations is a 15 million euro ($16.02 million) fund for early-stage Dutch quantum technology start-ups. Still, it is uncertain when these machines would be ready despite billions being poured into the technology, with big tech companies such as Alphabet (GOOGL.O), IBM (IBM.N) and Microsoft (MSFT.O) betting on this future computing technology.
Persons: Chad Rigetti, Rigetti, Y Combinator, Andreessen Horowitz, QDNL, Jaspreet Singh, Jane Lanhee Lee, Krishna Chandra Organizations: Rigetti Computing, Nasdaq, Delta, IBM, Microsoft, Thomson Locations: Europe, Bengaluru
Some are turning to startups who are pivoting to using powerful chips to run quantum-inspired software on regular computers as they bide their time. In the past 18 months, quantum software startups including SandBoxAQ - an Alphabet spinoff - raised about $1 billion, according to data firm PitchBook. Ultimately, the software inspired by quantum physics won't perform well on quantum computers without some changes, said William Hurley, boss of Austin-based quantum software startup Strangeworks. Still, he said companies that start using them will have engineers "learning about quantum and the phenomenon and the process, which will better prepare them to use quantum computers at the point that they do so." Strangeworks, which also operates a cloud with over 60 quantum computers on it, raised $24 million last month from investors including IBM (IBM.N).
These 74 stocks are picked by AI ETF managers. What she believes is unique about her fund is its heavy focus on quantum computing technology, making up 41.22% of the fund. While big data is used for different technologies, it enables AI to work with massive data sets in its machine-learning process. TipRanks, a financial technology website that uses AI to analyze financial data, created a stock list for what they deem are the best AI stocks based on popularity. TipRanks' list of nine of the best AI stocks have large market caps and are likely to remain relevant for a long time.
These 74 stocks are picked by AI ETF managers. What she believes is unique about her fund is its heavy focus on quantum computing technology, making up 41.22% of the fund. While big data is used for different technologies, it enables AI to work with massive data sets in its machine-learning process. TipRanks, a financial technology website that uses AI to analyze financial data, created a stock list for what they deem are the best AI stocks based on popularity. TipRanks' list of nine of the best AI stocks have large market caps and are likely to remain relevant for a long time.
OAKLAND, Calif. Jan 24 (Reuters) - Paris-based quantum computer startup PASQAL on Tuesday said it had raised 100 million euros ($109 million) and aims to deliver major commercial advantages over classical computers by next year using the fresh funds. The investment is the biggest private funding round for a quantum computer startup in Europe, according to Georges-Olivier Reymond, CEO and co-founder of PASQAL. It comes as the stock price collapse of three New York-listed quantum computer makers, IonQ Inc (IONQ.N), Rigetti Computing , and D-wave Quantum has made funding for the sector challenging. Scientists expect quantum computers could one day make certain calculations millions of times faster than the fastest super computers today. The number of qubits, or quantum bits, is an indication of the power of the quantum computer.
OAKLAND, Calif., Nov 1 (Reuters) - Quantum computer startup QuEra, born from researchers at Harvard University and the Massachusetts Institute of Technology, said on Tuesday its computer is now accessible to the public through Amazon.com (AMZN.O) cloud's quantum computer service Braket. It is the first neutral atom quantum computer to join Braket, which offers five other quantum computers on the cloud - Rigetti Computing, IonQ, D-Wave, Xanadu Quantum Technologies and Oxford Quantum Circuits. Richard Moulds, Braket's general manager, said the service makes it easy and cost effective for researchers to test out different types of quantum computers. Braket, which has been up and running for over two years, has a software layer that allows researchers to use their algorithms for any of the quantum computers on the cloud. Amazon is also developing its own quantum computer, said Moulds.
"In a five- to 10-year timeframe, quantum computing will break encryption as we know it." Since its conceptual birth in the early 1980s, quantum computing has held promise for systems that could exponentially outperform today's computers. Rather than leaning on the zeroes and ones of classical computers, quantum computers emerged from quantum physics, which is the study of the fundamental building blocks of matter and energy. Those strange properties account for the technology's potentially explosive abilities; each additional qubit doubles a quantum computer's power. They are named D-Wave Systems , Rigetti Computing, IonQ , and Quantum Computing.
Amazon was relatively quiet about quantum computing until it announced Amazon Braket in 2019. Amazon Web Services has been ramping up its quantum computing partnerships in the past few months. Along with that, AWS will offer cloud software from Quantum Computing Inc., which helps companies solve business problems using quantum computing, and it recently partnered with BMW to launch a quantum computing challenge to crowdsource automative projects in the field. That silence ended in 2019 when AWS announced its quantum computing service, Amazon Braket. In quantum computing, there's a lot of "noise" that gets in the way of solving problems, so this approach aims to reduce errors.
Total: 8