# Dense Quantum Measurement Theory

## TL;DR

Dense quantum measurement theory introduces a novel approach that reduces measurement rounds and boosts success probabilities, addressing key limitations in current quantum measurement strategies for quantum computing.

## Contribution

It proposes a new measurement strategy called dense quantum measurement that overcomes high costs and low success rates of standard methods in quantum computations.

## Key findings

- Reduces the number of measurement rounds needed.
- Significantly improves success probabilities.
- Provides an experimentally feasible solution for gate-model quantum computers.

## Abstract

Quantum measurement is a fundamental cornerstone of experimental quantum computations. The main issues in current quantum measurement strategies are the high number of measurement rounds to determine a global optimal measurement output and the low success probability of finding a global optimal measurement output. Each measurement round requires preparing the quantum system and applying quantum operations and measurements with high-precision control in the physical layer. These issues result in extremely high-cost measurements with a low probability of success at the end of the measurement rounds. Here, we define a novel measurement for quantum computations called dense quantum measurement. The dense measurement strategy aims at fixing the main drawbacks of standard quantum measurements by achieving a significant reduction in the number of necessary measurement rounds and by radically improving the success probabilities of finding global optimal outputs. We provide application scenarios for quantum circuits with arbitrary unitary sequences, and prove that dense measurement theory provides an experimentally implementable solution for gate-model quantum computer architectures.