# How do we make quantum computers more efficient?

We’ve been talking about quantum computers for quite a while now, but the technology is still a bit in its infancy.

Now, researchers from the University of Cambridge have found a way to make quantum bits smaller by about a factor of 10, and it’s based on two very simple processes.

The new research could open the door to more efficient quantum computers.

“If we can reduce the energy requirements, it means we can make quantum computing more scalable,” lead researcher Dr. Andrew J. Brown said in a statement.

“It’s not like you need to be able to build a quantum computer to make it cheaper.

It could be used in a lot of industries, from telecommunications to finance to pharmaceuticals.”

The researchers discovered that they could shrink the quantum bit in a single step, using a process known as spin-selective doping.

The process involves the use of two materials to form an electron pair.

This creates a small hole, which is then filled by adding more electrons.

The researchers then apply a magnetic field to this tiny hole, so that the magnetic fields align with the electron pair’s spins.

When they combine this spin-doping with a spin-transporting process, they can create a quantum bit that is even smaller than the initial quantum bit.

The quantum bit has the same number of bits per qubit as the initial bit, and can therefore be made smaller.

In addition, the new process also reduces the energy required to make the quantum bits, which has the potential to open up a whole new area of quantum computing.

“Our system can be scaled up, so it could be scaled down, and could scale into the hundreds of billions of qubits, which would be amazing,” Brown said.

“We’ve made this very simple system using the spin-transfer process, but we’ve found that the system can scale very large.

I think this opens up a new era in quantum computing.”

This is the first study to demonstrate this kind of process using quantum bits and it is an important step forward for future quantum computers, according to the researchers.

Brown and his team hope to work with other researchers to apply this technique to larger quantum systems.

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