Key insights

• ⚡ Quantum computers can accelerate Bitcoin mining and give banks an edge in trading
• 💰 Scaling up practical quantum computers may be challenging without significant investment
• 💡 Recent plans have emerged for scaling up quantum computers to benefit the wealthy
• ❓ Skepticism about scaling up quantum computers due to challenges with superconducting circuits and cryogenic temperatures
• ⚛️ MIT's plan for scaling up quantum computers using tin vacancies for a quantum system on chip
• ⚛️ Scientists have created an example module with about 1,000 cubits that can be interconnected
• ⚛️ Densely packed qubits with different frequencies, 10% error rate expected to improve
• 💸 Sai Quantum received significant funding and is a prominent player in Quantum Computing

Q&A

• What courses does Brilliant.org offer, and what is the special offer for this channel's users?

  Brilliant.org offers interactive courses on science, computer science, and mathematics, including visualizations, follow-up questions, Python scripts, and demonstration videos. Users of this channel can avail a special offer of a 30-day trial and 20% off an annual premium subscription with the link brilliant.org/zabina.

• Who is Sai Quantum and what are their achievements in quantum computing?

  Sai Quantum is a prominent quantum computing firm that has received substantial funding. They have achieved a high fidelity of more than 99.9% in state preparation and measurement of their modular chips, successfully linked multiple chips together, and are partnered with Global Foundaries to produce their quantum chips.

• What is the current status of quantum computing with regards to qubit creation and error rates?

  Scientists are creating densely packed qubits using tin vacancies, each responding at different frequencies. Although there is a high 10% error rate, it is expected to improve, and alternative approaches like photonic computing with single photons are being explored for easy scalability.

• How are scientists addressing the challenges of scaling up quantum computers?

  MIT has proposed a plan to address the challenges by using tin vacancies for quantum system on chip, which could potentially overcome the limitations of superconducting circuits and cryogenic temperatures.

• What are the challenges in scaling up practical quantum computers?

  Scaling up practical quantum computers may be difficult without significant investment. Challenges include superconducting circuits, cryogenic temperatures, and the need to achieve high fidelity in state preparation and measurement.

• Can quantum computers accelerate Bitcoin mining and trading for banks?

  Yes, quantum computers have the potential to speed up Bitcoin mining and trading for big banks as they can perform complex calculations much faster than traditional computers, giving banks a competitive advantage.

• 00:00 Quantum computers can speed up Bitcoin mining and trading for big banks, but practical quantum computers may be difficult to scale up without significant investment. However, recent plans propose scaling up quantum computers to benefit the wealthy.
• 01:01 There's skepticism about scaling up quantum computers due to challenges with superconducting circuits and cryogenic temperatures. MIT has proposed a plan using tin vacancies for quantum system on chip.
• 02:10 Scientists are using atoms with quantum properties to create cubits for computation. A new paper introduces an example module with approximately 1,000 cubits that can be interconnected. However, the system still needs to be cooled to 4 Kelvin.
• 03:15 Quantum computing using tiny vacancies allows for densely packed qubits, each responding at different frequencies. However, the 10% error rate is high but expected to improve. Photonic computing uses single photons and has a modular design for easy scalability.
• 04:32 Sai Quantum has received substantial funding and is considered one of the leading Quantum Computing firms. They have achieved a high fidelity of more than 99.9% in state preparation and measurement of their modular chips and have successfully linked multiple chips together. However, some researchers are cautious about labeling them as truly universal quantum computers due to limitations in implementing certain operations with light.
• 05:50 Learn science, computer science, and mathematics with interactive courses on Brilliant.org. Special offer for users of this channel: 30-day trial and 20% off annual premium subscription with link brilliant.org/zabina.