Understanding Transistors and Future Computing

The video explains the significance of transistors in computing, highlighting their binary nature and role in processing data. It discusses Moore's Law and the challenges faced in scaling transistors, such as heat and quantum tunneling. The video explores potential future technologies like graphene, optical, and quantum computing, emphasizing the need for innovation to continue advancing computing power.

What is the primary function of a transistor in a computer?

• To display images on the screen

• To control the flow of electrical current

• To power the computer

• To store data permanently

What does Moore's Law predict about the number of transistors on a microchip?

• It will double every two years

• It will remain constant

• It will double every year

• It will halve every two years

Why is silicon used in transistors?

• It is a good conductor of electricity

• It is a natural semiconductor

• It is a good insulator

• It is cheaper than other materials

What is the purpose of doping silicon in transistors?

• To make it more durable

• To make it more transparent

• To increase its size

• To enhance its electrical conductivity

How many bits are in a byte of information?

• 4 bits

• 8 bits

• 16 bits

• 32 bits

What is a major challenge in making transistors smaller?

• Decreased speed

• Lack of materials

• Quantum tunneling

• Increased cost

What happens when electrons quantum tunnel in a transistor?

• They improve the reliability of the chip

• They cause data corruption

• They reduce the heat generated

• They increase the speed of data processing

What is a potential advantage of using graphene in transistors?

• It is cheaper to produce

• It allows faster electron travel

• It is easier to manufacture

• It is more environmentally friendly

What is a challenge associated with optical computing?

• It is too expensive to develop

• Lasers consume too much power

• Photons are too slow

• It cannot process data in parallel

What is a unique feature of quantum computing?

• It relies on traditional binary systems

• It uses particles in multiple states simultaneously

• It is slower than classical computing

• It uses heat to represent data