Quantum Neural Networks (QNNs) are an emerging technology that combines the fields of quantum computing and artificial intelligence. In essence, they are a type of artificial neural network that functions based on the principles of quantum mechanics. They leverage quantum algorithms and unique quantum properties like superposition and entanglement to drastically enhance the speed and computational capacity compared to traditional neural networks.

• Advanced Computation: Quantum Neural Networks utilize quantum gates, qubits, and quantum computation principles, which provide an exponential leap in computation speed and processing power compared to classical neural networks.
• Unique Quantum Algorithms: QNNs incorporate unique quantum algorithms like Shor's algorithm, Grover's algorithm, and Deutsch–Jozsa algorithm for optimization and learning processes.
• Leverage Quantum Properties: QNNs take advantage of quantum entanglement, superposition, and quantum interference, facilitating complex calculations and high-dimensional computations.
• Emerging Field: Quantum Neural Networks are still in the research phase, which means they are yet to be commercialized extensively. However, leading tech companies and research institutions are actively investing in its development.
• Intensive Resources: QNNs operate on Quantum Computers, which currently are complex and expensive machines available mostly to large corporations and research facilities.

As an emerging field, implementing Quantum Neural Networks necessitates constant learning, research, and staying updated with advancements in quantum computing. Collaborating with the top tech companies, universities, and research institutions engaged in quantum research can be an effective strategy.

Adopting Quantum Neural Networks also requires a substantial financial commitment for investment in quantum computing infrastructure. Preparing an organization for this transition also needs due focus on skill development, with training in the principles of quantum computing and QNN.

Further, an in-depth assessment is crucial to determine the feasibility and potential benefits of Quantum Neural Networks for an organization. Considering the current nascent stage of quantum technology, organisations need to evaluate its potential impact on their operations critically.

• Processing Speed: Quantum systems can process a vast amount of data much faster than classical computers. This aspect makes QNNs invaluable for handling large datasets and complex computations in AI-driven fields.
• High-Dimensional Computation: With the ability to operate in multiple states simultaneously due to quantum superposition, QNNs can process high-dimensional data more effectively.
• Breakthrough in AI: QNNs hold immense potential to revolutionize fields requiring complex problem-solving and pattern recognition abilities, including medicine, finance, climate prediction, and more.
• Quantum Optimization: Quantum algorithms can enhance the optimization process, enabling more efficient training and operation of neural networks.
• Power efficiency: Quantum computing systems can potentially be more energy-efficient than traditional computers, given that they utilize quantum phenomena for computations.

• Resource-Intensive: Quantum technology is costly and requires specific physical conditions like ultra-cold temperatures for operation.
• Emerging Technology: Quantum computing and QNNs are still in the research phase with practical, accessible solutions yet to emerge.
• Error Correction: Quantum systems are highly sensitive and prone to computational errors. Appropriate error correction mechanisms are crucial, adding complexity to the system design.
• Technological Limitation: Current quantum technology is in very early stages, known as Noisy Intermediate-Scale Quantum(NISQ) era. Noise in qubits and limited coherence time pose a significant challenge for developing practical QNNs.

In conclusion, Quantum Neural Networks mark the intersection of quantum computing and machine learning, promising a new era of advancements in artificial intelligence. While the field is new and the technology is yet to mature, the potential benefits are vast and worth consideration. It is going to revolutionize data processing and artificial intelligence, providing immense potential for future growth and success.