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Rigetti, Quanta Partner on Superconducting Quantum Computing

The partnership aims to capitalise on the growing quantum computing market, which is expected to reach $1-2 billion annually by 2030.

Rigetti, Quanta Partner on Superconducting Quantum Computing

Key takeaways

  • Rigetti and Quanta partner to advance superconducting quantum computing with over $100 million investment each.
  • The quantum computing market is projected to grow to $1-2 billion annually by 2030.
  • Superconducting qubits offer fast gate speeds and leverage semiconductor manufacturing techniques.
  • Quanta plans to invest $35 million in Rigetti, pending approval for stake acquisition.
  • Market fluctuations in quantum computing persist, influenced by industry forecasts like NVIDIA's CEO's statements.

Takeaways drafted with AI from the article text.

The agreement involves investing more than $100 million by each company over the next five years, leveraging their complementary strengths. Quanta proposes to invest $35 million in Rigetti and acquire a stake in the company. However, the company is awaiting approval on this. 

The partnership aims to capitalise on the growing quantum computing market, which is expected to reach $1-2 billion annually by 2030. 

Superconducting qubits offer advantages such as fast gate speeds and established manufacturing techniques from the semiconductor industry.

This collaboration positions them to benefit from the rapid growth anticipated in the quantum computing sector over the next five years.

In recent months, the quantum computing sector has faced significant market fluctuations. 

A notable example was when NVIDIA CEO Jensen Huang suggested that “very useful quantum computers” could be 15 to 30 years away, leading to a sharp decline in quantum computing stocks. 

This statement erased approximately $8 billion in market value, causing substantial stock drops in companies like IonQ, Rigetti, and D-Wave. 

Despite this, industry leaders resisted, arguing that quantum computing already delivers tangible results, particularly in areas like annealing quantum computers and hybrid systems.

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