Quantum Computing
Practical quantum computing. Delivered over the cloud.
Quantum Realm
Building the operating system for quantum computers - Riverlane
Riverlane's mission is to make quantum computing useful far sooner than previously imaginable, starting an era of human progress as significant as the industrial and digital revolutions.
Enabling Covert Body Area Network using Electro-Quasistatic Human Body Communication | Scientific Reports
WBAN / HBC
A blind quantum audio watermarking based on quantum discrete cosine transform
As an important security technology, recently quantum watermarking attracted wide research attention. This study presents a blind quantum audio waterm…
QRDA: Quantum Representation of Digital Audio
Download Citation | QRDA: Quantum Representation of Digital Audio | Multimedia refers to content that uses a combination of different content forms. It includes two main medias: image and audio. However, by... | Find, read and cite all the research you need on ResearchGate
Quantum Representation of Digital Audio
The Best Lossless Music Streaming Services in 2023
There are more lossless music streaming services than ever: Apple, Tidal, Amazon, Tidal, Deezer and Spotify (soon). Here's what you need to know.
What Is Lossless Music?
The term "lossless" was essentially created to be a foil — or to mean the opposite — of "compressed" or "lossy"; these are digital music files that have had a lot of their details, specifically their high and low frequencies, stripped away in order to save space on your smartphone or computer.
The term "lossless" doesn't mean uncompressed, however, but it refers to a type of compressed digital audio file that uses advanced data compression algorithms so that the audio track doesn't "lose" any detail in the compression process.
For context, the average size of a compressed audio file, like a MP3 or a AAC, is about 1/4 the size of its original recording. The average size of a lossless compressed audio file, such as FLAC or ALAC (Apple Lossless), is now a little more than 1/2 the size of its original recording.
When somebody refers to a "lossless" track, they typically mean that it's the same quality as a CD or vinyl record (16-bit/44.1 kHz). This was the highest resolution audio that many lossless streaming services (like Tidal, Deezer and Qobuz) offered for years, but many of them now offer ever higher resolution audio files, which are also a type of lossless music.
For example, Tidal gives its HiFi subscribers the option of listening to Master Quality Authenticated (MQA) certified tracks (up to 24bit/96kHz), while Amazon Music HD gives its subscribers the ability to listen to "Ultra HD" (up to 24-bit/192kHz).
Max resolution: Every lossless streaming service is capable of streaming CD quality (16-bit/44.1 kHz) audio, but that's really the bare minimum requirement. A lot of lossless streaming services now offer significantly higher-resolution tracks that are Master Quality Authenticated (MQA, up to 24bit/96kHz) or "Ultra HD" (up to 24-bit/192kHz).
Price: When Apple released a lossless tier of Apple Music at no extra cost, it definitely disrupted the existing lossless streaming market. In fact, every one of them was forced to lower its base price from between $15 —$20 to around $10 (which is the cost of Apple Music). However, most lossless streaming services charge more than $10 for lossless streaming, that's higher than CD quality. These more premium plans also can great you access to more features, like live concerts and discounts if you want to purchase certain lossless tracks.
Best music streaming services 2023: free streams to hi-res audio
The best music streaming services offer slick interfaces, high-quality audio and access to millions of tracks
Quantum Image Teleportation Protocol (QITP) and Quantum Audio Teleportation Protocol (QATP) by using Quantum Teleportation and Huffman Coding | IEEE Conference Publication | IEEE Xplore
In order to transmit images and audio securely, the authors present the Quantum Image Teleportation Protocol (QITP) and Quantum Audio Teleportation Protocol (QATP), which utilizes the Quantum Teleportation (QT) technique combined with Huffman Coding. The QITP secures the teleportation of quantum states of an image while simultaneously encrypting and decrypting them using Huffman Coding since it is only possible to recover or decode data if the prefix codes are known. To test their approach, the authors transformed pixels or RGB values from digital images into text, which was then fed into the Huffman Coding Technique. It has the advantage of compressing the entire text, which makes it faster to transmit vast amounts of information. This work also demonstrates the Quantum Audio Teleportation Protocol (QATP) with and without Huffman coding. For proof of concept, experimental evaluations were performed for both suggested QITPs and QATPs (Standard QITP, QITP with Huffman Coding, Standard QATP, QATP with Huffman Coding), using IBM Quantum Assembly Language (IBM QASM) Simulator and real quantum hardware using the Quantum Information Science Kit (Qiskit), a quantum computing platform.
Lossless and Near-Lossless Audio Compression Using Integer-Reversible Modulated Lapped Transforms - Microsoft Research
We present a simple lossless audio codec, composed of an integer-reversible modulated lapped transform (MLT) followed by a backward-adaptive run-length/Golomb-Rice (RLGR) encoder. Its compression performance matches those of state-of-the-art predictive codecs, and it has the advantage that its compressed bitstream contains frequency-domain data that can be used for applications such as search, identification, and visualization. […]
Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction
Edge computing aims to address the challenges associated with communicating and transferring large amounts of data generated remotely to a data center in a timely and efficient manner. A central pillar of edge computing is local (i.e., at- or …
Flexible representation and manipulation of audio signals on quantum computers
By analyzing the numerical representation of amplitude values in audio signals and integrating the time component, a representation for audio signals …
Realization of a quantum autoencoder for lossless compression of quantum data
Download Citation | Realization of a quantum autoencoder for lossless compression of quantum data | As a ubiquitous aspect of modern information technology, data compression has a wide range of applications. Therefore, a quantum autoencoder which... | Find, read and cite all the research you need on ResearchGate
Study seeks to define quantum compression
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computationa
Quantum computing in music: simulating acoustics, designing instrument
Quantum computing could revolutionize music production and sound engineering. Its potential applications include simulating acoustic environments,designing.
Improving Audio Compression
Audio compression is an essential process in music production and distribution, as it allows for smaller file sizes and faster streaming. However, current compression algorithms can lead to a loss of sound quality. Quantum computing could potentially be used to develop more efficient compression algorithms that preserve sound quality while reducing file sizes.
The parallel processing power of quantum computing could be particularly useful in this application. By simultaneously processing large amounts of data, quantum computers could potentially identify and eliminate redundancies in the audio data that are not perceptible to the human ear.
Music production and sound engineering are areas that have greatly benefited from advancements in technology, and I believe quantum computing has the potential to revolutionize these fields.
Quantum data are compressed for the first time – Physics World
Physicists manage to squeeze three qubits into two
A quantum analogue of data compression has been demonstrated for the first time in the lab. Physicists working in Canada and Japan have squeezed quantum information contained in three quantum bits (qubits) into two qubits.
Compression of classical data is a simple procedure that allows a string of information to take up less space in a computer’s memory. Given an unadulterated string of, for example, 1000 binary values, a computer could simply record the frequency of the 1s and 0s, which might require just a dozen or so binary values. Recording the information about the order of those 1s and 0s would require a slightly longer string, but it would probably still be shorter than the original sequence.
Quantum data are rather different, and it is not possible to simply determine the frequencies of 1s and 0s in a string of quantum information. The problem comes down to the peculiar nature of qubits, which, unlike classical bits, can be a 1, a 0 or some “superposition” of both values.
A user can indeed perform a measurement to record the “one-ness” of a qubit, but such a measurement would destroy any information about that qubit’s “zero-ness”. What is more, if a user then measures a second qubit prepared in an identical way, he or she might find a different value for its “one-ness” – because qubits do not specify unique values but only the probability of measurement outcomes.
“This way you can store the qubits until you know what question you’re interested in,” says Aephraim Steinberg of the University of Toronto. “Then you can measure x if you want to know x; and if you want to know z, you can measure z – whereas if you don’t store the qubits, you have to choose which measurements you want to do right now.”