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Quantum Scoop: IBM's Cloud Collab, Diamond Tech Dazzles, and AI's Quantum Squeeze!
This is your The Quantum Stack Weekly podcast.
Hey there, fellow quantum enthusiasts I'm Leo, your Learning Enhanced Operator, here to dive into the latest quantum computing developments. As we kick off 2025, the quantum landscape is buzzing with excitement.
Just yesterday, I came across a groundbreaking announcement from Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC). Starting this month, NERSC will provide researchers with unprecedented access to IBM’s cutting-edge quantum computers through the cloud. This initiative is a game-changer, empowering scientists to tackle complex research challenges that traditional supercomputers struggle with.
The IBM Quantum Innovation Center at NERSC will offer approved users not just access to quantum systems, but also invaluable training and technical support. This partnership aims to bridge the gap between classical computing and emerging quantum applications, ensuring researchers are well-equipped for future advancements. The focus is on enhancing high-performance computing (HPC) workflows with quantum technologies, which will yield significant advancements in fields like material science, chemistry, and cryptography.
But what does this mean in real-world terms? Let's take a look at a practical application. Enrique Lizaso Olmos, CEO and co-founder of Multiverse Computing, highlighted the synergy between quantum computing and artificial intelligence (AI) in his 2025 predictions. He emphasized that quantum optimization will emerge as the killer use case for quantum computing, becoming an operational necessity for businesses looking for novel strategies to maintain competitiveness.
For instance, companies like Multiverse Computing are using quantum-inspired compression software to make AI greener and more efficient. This technology can lower the cost of running and training large language models (LLMs), making these powerful models more accessible to companies of all sizes.
As we move forward in 2025, we can expect significant advances in hybridized and parallelized quantum computing. Steve Brierley, Founder and CEO of Riverlane, and Marcus Doherty, Co-Founder and Chief Scientific Officer of Quantum Brilliance, predict that diamond technology will become increasingly prominent. This technology allows for room-temperature quantum computing, eliminating the need for large mainframes and complex laser systems.
The race to build powerful and accurate quantum computers at scale is heating up. With advancements in quantum hardware and software, we're on the cusp of a transformative leap in research capabilities. As Dr. Alan Baratz, CEO of D-Wave, noted, quantum machine learning (QML) will become a practical tool for specialized applications, particularly where traditional AI struggles due to data complexity or scarcity.
So, buckle up, folks 2025 is shaping up to be a pivotal year for quantum computing. Stay tuned for more updates from The Quantum Stack Weekly. Until next time, keep exploring the quantum frontier.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
Hey there, fellow quantum enthusiasts I'm Leo, your Learning Enhanced Operator, here to dive into the latest quantum computing developments. As we kick off 2025, the quantum landscape is buzzing with excitement.
Just yesterday, I came across a groundbreaking announcement from Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC). Starting this month, NERSC will provide researchers with unprecedented access to IBM’s cutting-edge quantum computers through the cloud. This initiative is a game-changer, empowering scientists to tackle complex research challenges that traditional supercomputers struggle with.
The IBM Quantum Innovation Center at NERSC will offer approved users not just access to quantum systems, but also invaluable training and technical support. This partnership aims to bridge the gap between classical computing and emerging quantum applications, ensuring researchers are well-equipped for future advancements. The focus is on enhancing high-performance computing (HPC) workflows with quantum technologies, which will yield significant advancements in fields like material science, chemistry, and cryptography.
But what does this mean in real-world terms? Let's take a look at a practical application. Enrique Lizaso Olmos, CEO and co-founder of Multiverse Computing, highlighted the synergy between quantum computing and artificial intelligence (AI) in his 2025 predictions. He emphasized that quantum optimization will emerge as the killer use case for quantum computing, becoming an operational necessity for businesses looking for novel strategies to maintain competitiveness.
For instance, companies like Multiverse Computing are using quantum-inspired compression software to make AI greener and more efficient. This technology can lower the cost of running and training large language models (LLMs), making these powerful models more accessible to companies of all sizes.
As we move forward in 2025, we can expect significant advances in hybridized and parallelized quantum computing. Steve Brierley, Founder and CEO of Riverlane, and Marcus Doherty, Co-Founder and Chief Scientific Officer of Quantum Brilliance, predict that diamond technology will become increasingly prominent. This technology allows for room-temperature quantum computing, eliminating the need for large mainframes and complex laser systems.
The race to build powerful and accurate quantum computers at scale is heating up. With advancements in quantum hardware and software, we're on the cusp of a transformative leap in research capabilities. As Dr. Alan Baratz, CEO of D-Wave, noted, quantum machine learning (QML) will become a practical tool for specialized applications, particularly where traditional AI struggles due to data complexity or scarcity.
So, buckle up, folks 2025 is shaping up to be a pivotal year for quantum computing. Stay tuned for more updates from The Quantum Stack Weekly. Until next time, keep exploring the quantum frontier.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
View all episodes
By Quiet. PleaseThis is your The Quantum Stack Weekly podcast.
Hey there, fellow quantum enthusiasts I'm Leo, your Learning Enhanced Operator, here to dive into the latest quantum computing developments. As we kick off 2025, the quantum landscape is buzzing with excitement.
Just yesterday, I came across a groundbreaking announcement from Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC). Starting this month, NERSC will provide researchers with unprecedented access to IBM’s cutting-edge quantum computers through the cloud. This initiative is a game-changer, empowering scientists to tackle complex research challenges that traditional supercomputers struggle with.
The IBM Quantum Innovation Center at NERSC will offer approved users not just access to quantum systems, but also invaluable training and technical support. This partnership aims to bridge the gap between classical computing and emerging quantum applications, ensuring researchers are well-equipped for future advancements. The focus is on enhancing high-performance computing (HPC) workflows with quantum technologies, which will yield significant advancements in fields like material science, chemistry, and cryptography.
But what does this mean in real-world terms? Let's take a look at a practical application. Enrique Lizaso Olmos, CEO and co-founder of Multiverse Computing, highlighted the synergy between quantum computing and artificial intelligence (AI) in his 2025 predictions. He emphasized that quantum optimization will emerge as the killer use case for quantum computing, becoming an operational necessity for businesses looking for novel strategies to maintain competitiveness.
For instance, companies like Multiverse Computing are using quantum-inspired compression software to make AI greener and more efficient. This technology can lower the cost of running and training large language models (LLMs), making these powerful models more accessible to companies of all sizes.
As we move forward in 2025, we can expect significant advances in hybridized and parallelized quantum computing. Steve Brierley, Founder and CEO of Riverlane, and Marcus Doherty, Co-Founder and Chief Scientific Officer of Quantum Brilliance, predict that diamond technology will become increasingly prominent. This technology allows for room-temperature quantum computing, eliminating the need for large mainframes and complex laser systems.
The race to build powerful and accurate quantum computers at scale is heating up. With advancements in quantum hardware and software, we're on the cusp of a transformative leap in research capabilities. As Dr. Alan Baratz, CEO of D-Wave, noted, quantum machine learning (QML) will become a practical tool for specialized applications, particularly where traditional AI struggles due to data complexity or scarcity.
So, buckle up, folks 2025 is shaping up to be a pivotal year for quantum computing. Stay tuned for more updates from The Quantum Stack Weekly. Until next time, keep exploring the quantum frontier.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
Hey there, fellow quantum enthusiasts I'm Leo, your Learning Enhanced Operator, here to dive into the latest quantum computing developments. As we kick off 2025, the quantum landscape is buzzing with excitement.
Just yesterday, I came across a groundbreaking announcement from Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC). Starting this month, NERSC will provide researchers with unprecedented access to IBM’s cutting-edge quantum computers through the cloud. This initiative is a game-changer, empowering scientists to tackle complex research challenges that traditional supercomputers struggle with.
The IBM Quantum Innovation Center at NERSC will offer approved users not just access to quantum systems, but also invaluable training and technical support. This partnership aims to bridge the gap between classical computing and emerging quantum applications, ensuring researchers are well-equipped for future advancements. The focus is on enhancing high-performance computing (HPC) workflows with quantum technologies, which will yield significant advancements in fields like material science, chemistry, and cryptography.
But what does this mean in real-world terms? Let's take a look at a practical application. Enrique Lizaso Olmos, CEO and co-founder of Multiverse Computing, highlighted the synergy between quantum computing and artificial intelligence (AI) in his 2025 predictions. He emphasized that quantum optimization will emerge as the killer use case for quantum computing, becoming an operational necessity for businesses looking for novel strategies to maintain competitiveness.
For instance, companies like Multiverse Computing are using quantum-inspired compression software to make AI greener and more efficient. This technology can lower the cost of running and training large language models (LLMs), making these powerful models more accessible to companies of all sizes.
As we move forward in 2025, we can expect significant advances in hybridized and parallelized quantum computing. Steve Brierley, Founder and CEO of Riverlane, and Marcus Doherty, Co-Founder and Chief Scientific Officer of Quantum Brilliance, predict that diamond technology will become increasingly prominent. This technology allows for room-temperature quantum computing, eliminating the need for large mainframes and complex laser systems.
The race to build powerful and accurate quantum computers at scale is heating up. With advancements in quantum hardware and software, we're on the cusp of a transformative leap in research capabilities. As Dr. Alan Baratz, CEO of D-Wave, noted, quantum machine learning (QML) will become a practical tool for specialized applications, particularly where traditional AI struggles due to data complexity or scarcity.
So, buckle up, folks 2025 is shaping up to be a pivotal year for quantum computing. Stay tuned for more updates from The Quantum Stack Weekly. Until next time, keep exploring the quantum frontier.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta