Jihwang Yeo

Aug 27, 2024 | mondaq.com | Whitney Johnson |Kamyar Maserrat |Jihwang Yeo

With consumer-grade forms of quantum computing nearing availability, this technology has the potential to permeate every aspect of daily life by solving certain types of problems exponentially faster—in some cases performing in minutes what might take months on the most powerful classical computers. The positive impacts of such a leap in processing power, as covered in prior articles, are difficult to overstate. Such processing power and potential also has a cautionary side.

Aug 23, 2024 | jdsupra.com | R. Johnson |Kamyar Maserrat |Jihwang Yeo

With consumer-grade forms of quantum computing nearing availability, this technology has the potential to permeate every aspect of daily life by solving certain types of problems exponentially faster—in some cases performing in minutes what might take months on the most powerful classical computers. The positive impacts of such a leap in processing power, as covered in prior articles, are difficult to overstate. Such processing power and potential also has a cautionary side.

May 27, 2024 | mondaq.com | Whitney Johnson |Kamyar Maserrat |Jihwang Yeo

The theoretical foundations of quantum computing emerged throughout the twentieth century, including Planck's Quantum Hypothesis (1900), the Uncertainty Principle (1927), and Bell's Inequality (1964). Practical applications initially emerged in the 1980s when Richard Feynman proposed using quantum systems to simulate other quantum systems, a task impractical for classical computers.

May 24, 2024 | jdsupra.com | R. Johnson |Kamyar Maserrat |Jihwang Yeo

The theoretical foundations of quantum computing emerged throughout the twentieth century, including Planck’s Quantum Hypothesis (1900), the Uncertainty Principle (1927), and Bell’s Inequality (1964). Practical applications initially emerged in the 1980s when Richard Feynman proposed using quantum systems to simulate other quantum systems, a task impractical for classical computers.