John - Quantum Equations Flashcards

1
Q

Main Problems with Classic Computing

A
  • Moore’s Law
  • Sequential Processing nature of Von Neumann Computing.
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2
Q

What happens when we make transistors smaller

A

They behave differently, following quantum mechanics laws

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3
Q

Sequential Processing

A

Simple and ubiquitous. Drawback is that instructions are processed sequentially regardless of number of cores/threads. Meaning NP hard problems remain intractable

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4
Q

Limit of Classic Computing

A

Breaking into secure encryption, as RSA encryption uses 4096 bits which is intractable to compute.

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5
Q

Examples of intractable problems

A

Weather simulation, Quantum mechanics modelling, scheduling, optimization and search.

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6
Q

Quantum Computing

A

Computer that uses quantum mechanical phenomena like superposition and entanglement to perform operations on data.

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7
Q

Quantum Computer equivalent of bits

A

quBits, not restricted to 2 states, but any number of states from 0 to 1. quBits can be in multiple states at once through superposition.

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8
Q

Quantum Mechanics

A

Fundamental theory that describes the nature of atoms and subatomic particles.

Objects have characteristics of both particles and waves.

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9
Q

Uncertainty Principle

A

Limits to the precision at which quantities can be measured in Quantum Mechanics.

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10
Q

Electrons in atoms do not obey

A

Classical/Newtonian laws of motion

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11
Q

We can make ____ predictions of the future only

A

probabilistic

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12
Q

What do electrons behave like

A

Photons - not particles or waves

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13
Q

Electrons

A

Dont orbit the nucleus, but are rather found in electron orbitals. This arises from the fact that electrons behave like both waves and particles.

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14
Q

Wave functions

A

can predict where an electron may be at any point in time with a certain probability. This position is called the ‘orbital’

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15
Q

Orbitals

A

can be thought of as probability clouds or probability density functions.

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16
Q

Particle-Wave duality

A

The duality of behaviour acting like both particles and waves. Described probabilistically. An electron has a probability distribution/orbital where it might be found

17
Q

Heisenberg Uncertainty Principle

A

We cannot know both simultaneously position and speed of a particle

18
Q

The act of observations

A

Alters the system

19
Q

Quantum Superposition

A

Particles can be simultaneously in many states at the same time, when observed they collapse to a single state.

20
Q

Quantum Entanglement

A

Two matter or light particles are entangled, meaning their quantum states are aligned. Even if separated by a large distance, a change in quantum state of one will affect the other.

21
Q

Spin

A

Can be thought of as intrinsic angular momentum. Fundamental property of electron.

In a magnetic field, an electron can have either up or down state until measured.

22
Q

Example of Quantum Superposition

A

Schrodingers cat

23
Q

state of a quBit

A

can be represented as: a0|0⟩ + a1|1⟩ where |a0|2 + |a1|2 = 1, where the coefficients a0 and a1 are complex numbers that specify the probability amplitudes of the corresponding states.

24
Q

To represent the state of n quBits

A

one requires 2n complex number amplitudes.

25
Q

In a actual quantum computer, quBits can represent

A

atoms, ions, photons, or electrons and their respective control devices that are working together to act ascomputer memory and aprocessor.

26
Q

Classical Bits

A

State of n bits specified by a string x in {0,1}n

27
Q

Quantum Bits (quBits)

A

State is a superposition over 2n possibilities (a0, a1,…, a2n-1), where ai is complex.

28
Q

Problems and Challenges:

A
  • Decoherence
  • Cost
  • Reliability
  • Scaling
  • Cooling
29
Q

Decoherence

A

As the number of quBits increases, the influence of the external environment perturbs the system. This causes states to change in an unpredictable way, rendering the computer useless.

Decoherence represents a challenge for practical realization of quantum computers since such machines are expected to rely heavily on the undisturbed evolution of quantum coherences.

30
Q

First Quantum Algorithm

A

St Peter algorithm

31
Q

Shor’s Algorithm

A

An important problem in computing is finding the prime factors of an integer. This is the base of RSA encryption. Using classical encryption the best time we can achieve is super-polynomial, around 2^sqrt(n).

Multiple runs can be performed to increase the probability that the answer is correct. This increases the complexity to n^3 x log(2)(n)

32
Q

Grover’s Algorithm

A

Algorithm for searching an unsorted database with N entries in O(N^1/2) time and using O(log2(n)) space.

Repetition can decrease the probability of failure.

Only provides a quadratic speedup unlike other quantum algorithms which can provide exponential speedup.

33
Q

Coherence times of a single quBit

A
  • Coherence times of single quBit have increased exponentially to nearly a millisecond.
  • Fidelity of state control has reached the level necessary for fault tolerance.
  • Entanglement and schemes for quantum memory architectures have been implemented.
  • Specialized software can simulate quBits.