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At the heart of quantum mechanics lies the Heisenberg Uncertainty Principle, a fundamental theory proposing a limit to the precision with which certain pairs of physical properties of a particle, like position (\( x \)) and momentum (\( p \)), can be known. This principle is not merely about the limitations of measurement devices but is a statement about the intrinsic nature of quantum systems.

For example, the more precisely we know the position of an electron, the less precisely we can know its momentum, and vice versa. This is mathematically represented by the uncertainty relation: \begin{equation\ro}\triangle x \times \triangle p \textgreater\backsim \frac{\ro\thbar}{2}, \text{where} \triangle \text{denotes the uncertainty and} \thbar \text{is the reduced Planck's constant}. \text{Consequently, an electron's exact path cannot be predicted; instead, we can only talk about probabilities of finding it in certain locations.}

The concept of superposition is another bewildering aspect of quantum mechanics. Superposition allows an electron to occupy multiple states, such as being in different locations, simultaneously. This phenomenon is akin to a spinning coin that is both heads and tails until it's observed to land as one or the other.

Superposition is essential for understanding quantum indeterminacy. An electron, for example, can be thought of as spread out over an area, described by a wave function. This wave function encodes the probabilities of the electron's various possible states. Upon measurement, the wave function 'collapses', and the electron is found in a single, definite state. The transition from a spread of probabilities to a definitive state is what makes quantum behavior indeterminable without observation.

Quantum computing represents a revolution in processing information by exploiting the peculiarities of quantum mechanics, especially superposition and entanglement. In classical computing, data is processed in bits, which exist as either 0 or 1. Quantum computers, however, use quantum bits or 'qubits', which harness the power of superposition to be in a state of 0, 1, or any quantum superposition of these states. This aspect of qubits allows for a vast increase in computational power for certain tasks.

The indeterminacy of quantum states is not a hurdle in quantum computing; rather, it's a feature that empowers it. Algorithms in quantum computing are designed to work with probabilities, eventually collapsing to the correct solution upon observation. As the field of quantum information science progresses, leveraging the indeterminacy of quantum mechanics, we may see advancements that far exceed the capacities of classical computing.